xResults_bckp_240915170758.txt

# LSTM Input: (192, 128, 128, 0.029)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 9 | 16 | 26 | 34 | 42 | 4 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.029
Training Time: 20.77 seconds
Mean Squared Error (MSE): 50.30377797365622
Mean Absolute Error (MAE): 5.32647921033457
Huber Loss: 4.854207515716553
R-squared: -0.0006062230488395683
SMAPE: 19.121918994715326


# LSTM Input: (192, 128, 128, 0.436)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 14 | -75 | 103 | -82 | 5 | 11 | 24 |
| Prediction Trend | Up | Down | Up | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.436
Training Time: 8.52 seconds
Mean Squared Error (MSE): 4254.838950548453
Mean Absolute Error (MAE): 50.11077941680441
Huber Loss: 49.61403274536133
R-squared: -56.46756974628905
SMAPE: 67.86892924962747


# LSTM Input: (192, 128, 128, 0.311)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 8 | 16 | 24 | 32 | 43 | 4 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.311
Training Time: 11.49 seconds
Mean Squared Error (MSE): 51.38279522592467
Mean Absolute Error (MAE): 5.372070940173402
Huber Loss: 4.899742603302002
R-squared: -0.017118212985270245
SMAPE: 19.233168783001194


# LSTM Input: (192, 128, 128, 0.186)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 7 | 16 | 24 | 33 | 42 | 4 | 9 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.186
Training Time: 9.75 seconds
Mean Squared Error (MSE): 50.80210896748063
Mean Absolute Error (MAE): 5.342888637464874
Huber Loss: 4.865309715270996
R-squared: -0.012953951278259617
SMAPE: 19.142194303165265


# LSTM Input: (192, 128, 128, 0.061)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 9 | 16 | 26 | 34 | 42 | 4 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.061
Training Time: 13.86 seconds
Mean Squared Error (MSE): 50.365442516271955
Mean Absolute Error (MAE): 5.32535216516378
Huber Loss: 4.852603912353516
R-squared: -0.0014615710861449749
SMAPE: 19.1096748596555


# LSTM Input: (192, 128, 128, 0.9)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 91 | -211 | -34 | -41 | 55 | 20 | 59 |
| Prediction Trend | Up | Down | Down | Down | Up | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.9
Training Time: 18.59 seconds
Mean Squared Error (MSE): 10171.799652787766
Mean Absolute Error (MAE): 74.86963081359863
Huber Loss: 74.36962890625
R-squared: -196.5889843224981
SMAPE: 77.32011834408853


# LSTM Input: (192, 128, 128, 0.775)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | -3 | -6 | -19 | 47 | 56 | 1 | 0 |
| Prediction Trend | Down | Down | Down | Up | Up | Down | Down |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.775
Training Time: 13.43 seconds
Mean Squared Error (MSE): 487.3496580551268
Mean Absolute Error (MAE): 16.76090565222461
Huber Loss: 16.270647048950195
R-squared: -6.911789101948464
SMAPE: 70.27110299210234


# LSTM Input: (192, 128, 128, 0.65)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 22 | 23 | 2 | 54 | 31 | 3 | 5 |
| Prediction Trend | Up | Up | Down | Up | Down | Up | Down |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.65
Training Time: 18.49 seconds
Mean Squared Error (MSE): 233.9395402656615
Mean Absolute Error (MAE): 11.913431653562858
Huber Loss: 11.425140380859375
R-squared: -2.816086770502603
SMAPE: 36.844090614718056


# LSTM Input: (192, 128, 128, 0.525)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 14 | 14 | 26 | 38 | 46 | 5 | 8 |
| Prediction Trend | Up | Up | Down | Down | Up | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.525
Training Time: 11.69 seconds
Mean Squared Error (MSE): 60.50909838418527
Mean Absolute Error (MAE): 5.812464465089397
Huber Loss: 5.335207462310791
R-squared: -0.2224039686586226
SMAPE: 20.536380475827183


# LSTM Input: (192, 128, 128, 0.4)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 12 | 10 | 27 | 38 | 42 | 5 | 9 |
| Prediction Trend | Up | Down | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.4
Training Time: 10.13 seconds
Mean Squared Error (MSE): 61.99896306290959
Mean Absolute Error (MAE): 5.844621083363385
Huber Loss: 5.373805999755859
R-squared: -0.2136362993009073
SMAPE: 20.98761751996258


# LSTM Input: (192, 128, 128, 0.275)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 6 | 13 | 24 | 31 | 42 | 4 | 8 |
| Prediction Trend | Down | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.275
Training Time: 9.33 seconds
Mean Squared Error (MSE): 55.08539687905893
Mean Absolute Error (MAE): 5.5654211117296795
Huber Loss: 5.085098743438721
R-squared: -0.08686957346300536
SMAPE: 20.10906233314396


# LSTM Input: (192, 128, 128, 0.908)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 16 | 41 | 19 | 45 | 61 | 7 | 10 |
| Prediction Trend | Up | Up | Down | Up | Up | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.908
Training Time: 11.68 seconds
Mean Squared Error (MSE): 214.51505327279787
Mean Absolute Error (MAE): 11.145806838055046
Huber Loss: 10.66226577758789
R-squared: -2.8957656488731507
SMAPE: 27.6452374813683


# LSTM Input: (192, 128, 128, 0.783)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | -7 | 37 | 16 | 44 | 26 | 13 | 8 |
| Prediction Trend | Down | Up | Down | Up | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.783
Training Time: 9.83 seconds
Mean Squared Error (MSE): 218.99162394015528
Mean Absolute Error (MAE): 12.194194194410935
Huber Loss: 11.70470142364502
R-squared: -4.384642357721048
SMAPE: 39.62193411019104


# LSTM Input: (192, 128, 128, 0.658)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | -97 | 0 | -64 | 1 | 75 | -4 | 8 |
| Prediction Trend | Down | Down | Down | Down | Up | Down | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.658
Training Time: 10.17 seconds
Mean Squared Error (MSE): 3132.156991791803
Mean Absolute Error (MAE): 41.02707198221667
Huber Loss: 40.532691955566406
R-squared: -63.47941393687319
SMAPE: 76.7375242545681


# LSTM Input: (192, 128, 128, 0.533)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | -18 | 13 | -15 | 59 | 46 | 6 | 10 |
| Prediction Trend | Down | Up | Down | Up | Up | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.533
Training Time: 14.98 seconds
Mean Squared Error (MSE): 473.8018582413016
Mean Absolute Error (MAE): 15.694402915279882
Huber Loss: 15.207494735717773
R-squared: -6.45690126867768
SMAPE: 44.18406227681018


# LSTM Input: (192, 128, 128, 0.229)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 7 | 17 | 26 | 35 | 43 | 4 | 9 |
| Prediction Trend | Down | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.229
Training Time: 9.21 seconds
Mean Squared Error (MSE): 51.28014582592435
Mean Absolute Error (MAE): 5.2955370671084125
Huber Loss: 4.820897102355957
R-squared: -0.028216354330995896
SMAPE: 19.070231544943457


# LSTM Input: (192, 128, 128, 0.969)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | -72 | 157 | 47 | 189 | 59 | 39 | -36 |
| Prediction Trend | Down | Up | Up | Up | Up | Up | Down |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.969
Training Time: 8.97 seconds
Mean Squared Error (MSE): 7820.194543571363
Mean Absolute Error (MAE): 70.64940682236029
Huber Loss: 70.14940643310547
R-squared: -161.31956518134368
SMAPE: 68.91433522285234


# LSTM Input: (192, 128, 128, 0.844)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | -3 | 32 | 19 | 46 | 30 | 6 | 7 |
| Prediction Trend | Down | Up | Down | Up | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.844
Training Time: 17.19 seconds
Mean Squared Error (MSE): 149.48402483447128
Mean Absolute Error (MAE): 9.558413039664833
Huber Loss: 9.066333770751953
R-squared: -1.7814750183414312
SMAPE: 34.634131722508144


# LSTM Input: (192, 128, 128, 0.719)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | -12 | -26 | 30 | 47 | -13 | -4 | -9 |
| Prediction Trend | Down | Down | Down | Up | Down | Down | Down |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.719
Training Time: 11.61 seconds
Mean Squared Error (MSE): 872.7227785563476
Mean Absolute Error (MAE): 23.53917256909974
Huber Loss: 23.041709899902344
R-squared: -21.41527562436727
SMAPE: 76.55873173136159


# LSTM Input: (192, 128, 128, 0.594)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 42 | -91 | 107 | -25 | 52 | 19 | -4 |
| Prediction Trend | Up | Down | Up | Down | Up | Up | Down |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.594
Training Time: 8.84 seconds
Mean Squared Error (MSE): 3257.9246629587183
Mean Absolute Error (MAE): 44.5979591121479
Huber Loss: 44.09795379638672
R-squared: -51.60290404888419
SMAPE: 72.71192837515571


# LSTM Input: (192, 128, 128, 0.469)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 16 | 36 | 42 | 40 | 40 | 2 | 13 |
| Prediction Trend | Up | Up | Up | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.469
Training Time: 9.59 seconds
Mean Squared Error (MSE): 166.26861440578833
Mean Absolute Error (MAE): 9.640214404281304
Huber Loss: 9.14861011505127
R-squared: -1.9967516541546464
SMAPE: 27.19269324672618


# LSTM Input: (192, 128, 128, 0.344)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 11 | 15 | 26 | 32 | 43 | 4 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.344
Training Time: 9.89 seconds
Mean Squared Error (MSE): 52.627534979013014
Mean Absolute Error (MAE): 5.508326128632034
Huber Loss: 5.030502796173096
R-squared: -0.045312874555497276
SMAPE: 19.68716973011859


# LSTM Input: (192, 128, 128, 0.107)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 9 | 16 | 26 | 34 | 43 | 4 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.107
Training Time: 10.67 seconds
Mean Squared Error (MSE): 50.48219420689243
Mean Absolute Error (MAE): 5.3207153909060425
Huber Loss: 4.845503330230713
R-squared: -0.004293238504673066
SMAPE: 19.152583183139182


# LSTM Input: (192, 128, 128, 0.977)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | -279 | -1433 | 982 | 992 | -393 | 439 | 96 |
| Prediction Trend | Down | Down | Up | Up | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.977
Training Time: 8.83 seconds
Mean Squared Error (MSE): 627643.7817341707
Mean Absolute Error (MAE): 654.8427338243342
Huber Loss: 654.3427124023438
R-squared: -11643.81996388493
SMAPE: 95.87656184571233


# LSTM Input: (192, 128, 128, 0.852)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | -2020 | 693 | 654 | -256 | -678 | 272 | -51 |
| Prediction Trend | Down | Up | Up | Down | Down | Up | Down |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.852
Training Time: 8.48 seconds
Mean Squared Error (MSE): 806738.1140165596
Mean Absolute Error (MAE): 667.3091660129782
Huber Loss: 666.8091430664062
R-squared: -21155.02794993358
SMAPE: 97.85064257255209


# LSTM Input: (192, 128, 128, 0.727)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 32 | -53 | -13 | 156 | -50 | 11 | -2 |
| Prediction Trend | Up | Down | Down | Up | Down | Up | Down |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.727
Training Time: 11.25 seconds
Mean Squared Error (MSE): 4382.184306648281
Mean Absolute Error (MAE): 51.76209496032623
Huber Loss: 51.262386322021484
R-squared: -66.7331960001068
SMAPE: 82.33302062613596


# LSTM Input: (192, 128, 128, 0.602)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | -319 | 1228 | 342 | -364 | 66 | 48 | 219 |
| Prediction Trend | Down | Up | Up | Down | Up | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.602
Training Time: 8.02 seconds
Mean Squared Error (MSE): 268409.19222716155
Mean Absolute Error (MAE): 361.69758805774507
Huber Loss: 361.1976013183594
R-squared: -4610.324411336961
SMAPE: 83.37752828482586


# LSTM Input: (192, 128, 128, 0.477)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 21 | 23 | -2 | 18 | 50 | 4 | 4 |
| Prediction Trend | Up | Up | Down | Down | Up | Up | Down |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.477
Training Time: 9.39 seconds
Mean Squared Error (MSE): 238.0604230853483
Mean Absolute Error (MAE): 11.63747879355943
Huber Loss: 11.154797554016113
R-squared: -2.8941081330208456
SMAPE: 40.28187963544808


# LSTM Input: (192, 128, 128, 0.352)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | -16 | 14 | 14 | 27 | 37 | 6 | 9 |
| Prediction Trend | Down | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.352
Training Time: 9.30 seconds
Mean Squared Error (MSE): 165.5774842845849
Mean Absolute Error (MAE): 9.559687733650208
Huber Loss: 9.072545051574707
R-squared: -2.8393073088768737
SMAPE: 32.48033837456874


# LSTM Input: (192, 128, 128, 0.441)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 13 | 3 | 12 | 35 | 44 | 1 | 9 |
| Prediction Trend | Up | Down | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.441
Training Time: 10.46 seconds
Mean Squared Error (MSE): 107.3753411144997
Mean Absolute Error (MAE): 7.520835269673341
Huber Loss: 7.048478603363037
R-squared: -0.9044238751884313
SMAPE: 30.303472414748416


# LSTM Input: (192, 128, 128, 0.316)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 3 | 11 | 25 | 28 | 40 | 5 | 10 |
| Prediction Trend | Down | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.316
Training Time: 9.95 seconds
Mean Squared Error (MSE): 64.50128968082741
Mean Absolute Error (MAE): 6.055897702976148
Huber Loss: 5.574959754943848
R-squared: -0.2984228402395513
SMAPE: 22.38636133146916


# LSTM Input: (192, 128, 128, 0.191)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 8 | 15 | 23 | 33 | 41 | 5 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.191
Training Time: 10.11 seconds
Mean Squared Error (MSE): 51.73367933171988
Mean Absolute Error (MAE): 5.4142767207152165
Huber Loss: 4.937137126922607
R-squared: -0.025561469446183014
SMAPE: 19.396144467728828


# LSTM Input: (192, 128, 128, 0.066)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 8 | 15 | 25 | 34 | 42 | 4 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.066
Training Time: 13.43 seconds
Mean Squared Error (MSE): 50.50450324089494
Mean Absolute Error (MAE): 5.339544359518557
Huber Loss: 4.861352920532227
R-squared: -0.003840692513835358
SMAPE: 19.166552641535635


# LSTM Input: (192, 128, 128, 0.449)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 14 | 20 | 26 | 30 | 36 | 3 | 7 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.449
Training Time: 10.17 seconds
Mean Squared Error (MSE): 63.55060311451724
Mean Absolute Error (MAE): 6.362302190187026
Huber Loss: 5.880773544311523
R-squared: -0.33451319251678374
SMAPE: 21.99434091823314


# LSTM Input: (192, 128, 128, 0.324)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 8 | 17 | 37 | 47 | 32 | 4 | 7 |
| Prediction Trend | Up | Up | Up | Up | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.324
Training Time: 11.87 seconds
Mean Squared Error (MSE): 110.43464994971804
Mean Absolute Error (MAE): 7.615245006927827
Huber Loss: 7.133936405181885
R-squared: -0.8255247597939764
SMAPE: 22.15219695935618


# LSTM Input: (192, 128, 128, 0.199)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 10 | 19 | 26 | 34 | 41 | 4 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.199
Training Time: 9.42 seconds
Mean Squared Error (MSE): 51.21504577902596
Mean Absolute Error (MAE): 5.434709836836575
Huber Loss: 4.9615254402160645
R-squared: -0.018581696116007716
SMAPE: 19.417009578248557


# LSTM Input: (192, 128, 128, 0.913)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | -101 | -56 | 75 | -111 | -18 | 16 | -3 |
| Prediction Trend | Down | Down | Up | Down | Down | Up | Down |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.913
Training Time: 13.81 seconds
Mean Squared Error (MSE): 6427.971574274869
Mean Absolute Error (MAE): 65.70455793945156
Huber Loss: 65.20455932617188
R-squared: -111.14538214552556
SMAPE: 87.46227922521139


# LSTM Input: (192, 128, 128, 0.788)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 281 | 962 | 315 | 222 | -87 | 112 | 287 |
| Prediction Trend | Up | Up | Up | Up | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.788
Training Time: 7.95 seconds
Mean Squared Error (MSE): 170464.17925001733
Mean Absolute Error (MAE): 315.70536570646317
Huber Loss: 315.20538330078125
R-squared: -3901.56509199865
SMAPE: 91.02136037066363


# LSTM Input: (192, 128, 128, 0.663)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 13 | 29 | 110 | 198 | 16 | -15 | 2 |
| Prediction Trend | Up | Up | Up | Up | Down | Down | Down |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.663
Training Time: 8.65 seconds
Mean Squared Error (MSE): 5078.349402010826
Mean Absolute Error (MAE): 45.68689266982533
Huber Loss: 45.190330505371094
R-squared: -62.598648242588276
SMAPE: 58.70071433712083


# LSTM Input: (192, 128, 128, 0.538)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | -3 | 11 | 8 | 35 | 45 | -1 | 3 |
| Prediction Trend | Down | Up | Down | Down | Down | Down | Down |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.538
Training Time: 9.06 seconds
Mean Squared Error (MSE): 126.28525253502914
Mean Absolute Error (MAE): 8.643457340545396
Huber Loss: 8.155285835266113
R-squared: -1.9990007849061426
SMAPE: 47.37715797125756


# LSTM Input: (192, 128, 128, 0.153)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 9 | 19 | 26 | 34 | 41 | 4 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.153
Training Time: 9.91 seconds
Mean Squared Error (MSE): 51.071501850087444
Mean Absolute Error (MAE): 5.400605464468198
Huber Loss: 4.926491737365723
R-squared: -0.015361911648483486
SMAPE: 19.291410282442556


# LSTM Input: (192, 128, 128, 0.921)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | -2176 | -351 | 2976 | -3373 | -723 | -1316 | -714 |
| Prediction Trend | Down | Down | Up | Down | Down | Down | Down |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.921
Training Time: 8.09 seconds
Mean Squared Error (MSE): 4013549.0451947046
Mean Absolute Error (MAE): 1674.5912626097804
Huber Loss: 1674.0911865234375
R-squared: -93486.84211482287
SMAPE: 99.75967247924099


# LSTM Input: (192, 128, 128, 0.796)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 230 | -193 | -82 | -1039 | 768 | 123 | -133 |
| Prediction Trend | Up | Down | Down | Down | Up | Up | Down |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.796
Training Time: 8.33 seconds
Mean Squared Error (MSE): 262046.4718468413
Mean Absolute Error (MAE): 372.45705345698764
Huber Loss: 371.9570617675781
R-squared: -4402.305928772539
SMAPE: 96.60879589768751


# LSTM Input: (192, 128, 128, 0.671)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | -379 | -634 | -413 | 635 | 279 | 62 | -37 |
| Prediction Trend | Down | Down | Down | Up | Up | Up | Down |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.671
Training Time: 8.50 seconds
Mean Squared Error (MSE): 169788.14904608857
Mean Absolute Error (MAE): 345.15079619608775
Huber Loss: 344.65081787109375
R-squared: -2589.9458997350084
SMAPE: 93.05166033886891


# LSTM Input: (192, 128, 128, 0.546)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 11 | 19 | 28 | 39 | 43 | 11 | 11 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.546
Training Time: 9.70 seconds
Mean Squared Error (MSE): 64.57849807725235
Mean Absolute Error (MAE): 6.3428928754767595
Huber Loss: 5.856123924255371
R-squared: -1.1281518380787352
SMAPE: 22.921517278186545


# LSTM Input: (192, 128, 128, 0.161)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 8 | 16 | 25 | 35 | 42 | 4 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.161
Training Time: 9.26 seconds
Mean Squared Error (MSE): 50.58116380386888
Mean Absolute Error (MAE): 5.328308815858803
Huber Loss: 4.84856653213501
R-squared: -0.005698354582397742
SMAPE: 19.130875821353587


# LSTM Input: (192, 128, 128, 0.112)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 8 | 16 | 25 | 34 | 42 | 4 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.112
Training Time: 10.55 seconds
Mean Squared Error (MSE): 50.40777886588118
Mean Absolute Error (MAE): 5.304512368578488
Huber Loss: 4.834596157073975
R-squared: -0.005207503428906238
SMAPE: 19.078948597415064


# LSTM Input: (192, 128, 128, 0.019)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 9 | 17 | 26 | 34 | 42 | 4 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.019
Training Time: 29.56 seconds
Mean Squared Error (MSE): 50.307560103942464
Mean Absolute Error (MAE): 5.331984542665028
Huber Loss: 4.859353542327881
R-squared: -0.0007696085466193699
SMAPE: 19.13361817637565


# LSTM Input: (192, 128, 128, 0.982)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | -78 | -1169 | -380 | 18 | -453 | -20 | 41 |
| Prediction Trend | Down | Down | Down | Down | Down | Down | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.982
Training Time: 10.22 seconds
Mean Squared Error (MSE): 257505.64250340307
Mean Absolute Error (MAE): 317.8507185035011
Huber Loss: 317.35137939453125
R-squared: -3892.292831930796
SMAPE: 86.9185532766049


# LSTM Input: (192, 128, 128, 0.857)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 57 | 0 | 25 | -3 | -71 | -20 | 22 |
| Prediction Trend | Up | Down | Down | Down | Down | Down | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.857
Training Time: 12.97 seconds
Mean Squared Error (MSE): 2541.8876681455017
Mean Absolute Error (MAE): 37.290614713616925
Huber Loss: 36.79136276245117
R-squared: -66.40131732502907
SMAPE: 77.15666171893612


# LSTM Input: (192, 128, 128, 0.732)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 4 | 51 | 40 | 39 | 63 | 9 | 7 |
| Prediction Trend | Down | Up | Up | Down | Up | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.732
Training Time: 10.78 seconds
Mean Squared Error (MSE): 321.8991843624944
Mean Absolute Error (MAE): 13.088381515473733
Huber Loss: 12.594925880432129
R-squared: -4.687999057986512
SMAPE: 30.337564395162726


# LSTM Input: (192, 128, 128, 0.607)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 23 | 35 | 4 | 81 | 63 | 19 | 22 |
| Prediction Trend | Up | Up | Down | Up | Up | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.607
Training Time: 9.47 seconds
Mean Squared Error (MSE): 633.5118833192929
Mean Absolute Error (MAE): 21.531362159722512
Huber Loss: 21.03287124633789
R-squared: -14.063976448509592
SMAPE: 47.66823959980698


# LSTM Input: (192, 128, 128, 0.482)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 17 | 18 | 17 | 46 | 42 | 3 | 10 |
| Prediction Trend | Up | Up | Down | Up | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.482
Training Time: 11.79 seconds
Mean Squared Error (MSE): 93.78598048609955
Mean Absolute Error (MAE): 7.191450851709663
Huber Loss: 6.709148406982422
R-squared: -0.7696778351390925
SMAPE: 23.320195816730802


# LSTM Input: (192, 128, 128, 0.357)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | -4 | 6 | 32 | 35 | 48 | -1 | 10 |
| Prediction Trend | Down | Down | Up | Down | Up | Down | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.357
Training Time: 8.17 seconds
Mean Squared Error (MSE): 105.84022404657775
Mean Absolute Error (MAE): 7.9394857870275475
Huber Loss: 7.455248832702637
R-squared: -1.5766627263338626
SMAPE: 42.87042824779641


# LSTM Input: (192, 128, 128, 0.051)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 8 | 16 | 25 | 34 | 42 | 4 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.051
Training Time: 13.08 seconds
Mean Squared Error (MSE): 50.35767418599362
Mean Absolute Error (MAE): 5.3276742842732645
Huber Loss: 4.8524017333984375
R-squared: -0.0013237913885647387
SMAPE: 19.119011020419595


# LSTM Input: (192, 128, 128, 0.99)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 862 | 13 | -120 | -1282 | -716 | 130 | -158 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Down |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.99
Training Time: 8.61 seconds
Mean Squared Error (MSE): 500651.31577041245
Mean Absolute Error (MAE): 534.4314034455487
Huber Loss: 533.9317016601562
R-squared: -9176.672256184702
SMAPE: 95.29654495816389


# LSTM Input: (192, 128, 128, 0.865)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | -447 | 156 | -522 | 385 | -583 | -83 | -105 |
| Prediction Trend | Down | Up | Down | Up | Down | Down | Down |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.865
Training Time: 8.31 seconds
Mean Squared Error (MSE): 149669.92481952815
Mean Absolute Error (MAE): 329.89028460963243
Huber Loss: 329.3902893066406
R-squared: -3056.2597717713566
SMAPE: 95.06199173798136


# LSTM Input: (192, 128, 128, 0.74)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | -239 | 168 | -563 | -292 | -335 | -119 | 105 |
| Prediction Trend | Down | Up | Down | Down | Down | Down | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.74
Training Time: 9.07 seconds
Mean Squared Error (MSE): 101809.87145598866
Mean Absolute Error (MAE): 274.2256200427101
Huber Loss: 273.72564697265625
R-squared: -1915.641144400411
SMAPE: 95.30667849050776


# LSTM Input: (192, 128, 128, 0.615)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 35 | 20 | 23 | 58 | 48 | 17 | 8 |
| Prediction Trend | Up | Up | Down | Up | Up | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.615
Training Time: 12.11 seconds
Mean Squared Error (MSE): 264.3337354601286
Mean Absolute Error (MAE): 12.574157698624798
Huber Loss: 12.08656120300293
R-squared: -6.767090243218237
SMAPE: 31.30124659514195


# LSTM Input: (192, 128, 128, 0.49)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 14 | -5 | 25 | 13 | 54 | -4 | 6 |
| Prediction Trend | Up | Down | Down | Down | Up | Down | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.49
Training Time: 9.20 seconds
Mean Squared Error (MSE): 215.9790896241575
Mean Absolute Error (MAE): 11.61486962741735
Huber Loss: 11.120405197143555
R-squared: -3.527969867529533
SMAPE: 47.0240096918109


# LSTM Input: (192, 128, 128, 0.365)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 9 | 20 | 26 | 35 | 40 | 3 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.365
Training Time: 10.38 seconds
Mean Squared Error (MSE): 53.262977485429474
Mean Absolute Error (MAE): 5.5617713011851935
Huber Loss: 5.087221145629883
R-squared: -0.06568587093176673
SMAPE: 19.76179818664682


# LSTM Input: (192, 128, 128, 0.24)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 9 | 15 | 24 | 30 | 42 | 4 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.24
Training Time: 10.13 seconds
Mean Squared Error (MSE): 52.553195359530115
Mean Absolute Error (MAE): 5.498311502592904
Huber Loss: 5.020407676696777
R-squared: -0.029658925999060726
SMAPE: 19.538719627710734


# LSTM Input: (192, 128, 128, 0.454)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 6 | 18 | 25 | 21 | 46 | 4 | 8 |
| Prediction Trend | Down | Up | Down | Down | Up | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.454
Training Time: 9.15 seconds
Mean Squared Error (MSE): 77.93131963957295
Mean Absolute Error (MAE): 6.284076279523421
Huber Loss: 5.812747001647949
R-squared: -0.3550977706522239
SMAPE: 21.06665349666196


# LSTM Input: (192, 128, 128, 0.329)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 11 | 18 | 27 | 32 | 43 | 5 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.329
Training Time: 14.23 seconds
Mean Squared Error (MSE): 52.71027866387757
Mean Absolute Error (MAE): 5.565542085641096
Huber Loss: 5.085530757904053
R-squared: -0.05309648672266893
SMAPE: 19.814891003475353


# LSTM Input: (192, 128, 128, 0.074)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 8 | 16 | 26 | 35 | 42 | 4 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.074
Training Time: 14.09 seconds
Mean Squared Error (MSE): 50.339730288094515
Mean Absolute Error (MAE): 5.324194388324711
Huber Loss: 4.847305774688721
R-squared: -0.0024352195572531687
SMAPE: 19.138759741486208


# LSTM Input: (192, 128, 128, 0.462)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 8 | 17 | 29 | 35 | 41 | 4 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.462
Training Time: 9.44 seconds
Mean Squared Error (MSE): 52.29500582121924
Mean Absolute Error (MAE): 5.389579309898169
Huber Loss: 4.912054061889648
R-squared: -0.02561675079119999
SMAPE: 19.175652684385526


# LSTM Input: (192, 128, 128, 0.337)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 8 | 19 | 27 | 33 | 41 | 5 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.337
Training Time: 9.13 seconds
Mean Squared Error (MSE): 51.96967954161191
Mean Absolute Error (MAE): 5.444187216207284
Huber Loss: 4.9715728759765625
R-squared: -0.033454975280992
SMAPE: 19.34942507123586


# LSTM Input: (192, 128, 128, 0.082)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 9 | 17 | 26 | 35 | 42 | 4 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.082
Training Time: 12.58 seconds
Mean Squared Error (MSE): 50.56690816376403
Mean Absolute Error (MAE): 5.3364149129309615
Huber Loss: 4.865482330322266
R-squared: -0.004773794554781917
SMAPE: 19.153847381390836


# LSTM Input: (192, 128, 128, 0.926)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | -1870 | -865 | 1581 | -1621 | -78 | 627 | -441 |
| Prediction Trend | Down | Down | Up | Down | Down | Up | Down |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.926
Training Time: 8.22 seconds
Mean Squared Error (MSE): 1440394.4078599769
Mean Absolute Error (MAE): 1023.3889154187676
Huber Loss: 1022.8889770507812
R-squared: -34330.46750344312
SMAPE: 99.10843281350347


# LSTM Input: (192, 128, 128, 0.801)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | -145 | 16 | 2 | 163 | 87 | 23 | 45 |
| Prediction Trend | Down | Up | Down | Up | Up | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.801
Training Time: 9.16 seconds
Mean Squared Error (MSE): 6376.451675622794
Mean Absolute Error (MAE): 58.9903581590474
Huber Loss: 58.492000579833984
R-squared: -157.33193040608484
SMAPE: 63.76362606115341


# LSTM Input: (192, 128, 128, 0.676)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 85 | -41 | -69 | 110 | 107 | 15 | -5 |
| Prediction Trend | Up | Down | Down | Up | Up | Up | Down |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.676
Training Time: 12.99 seconds
Mean Squared Error (MSE): 4083.4902962311203
Mean Absolute Error (MAE): 55.98932886448038
Huber Loss: 55.48932647705078
R-squared: -70.87368963322817
SMAPE: 76.99587312578356


# LSTM Input: (192, 128, 128, 0.551)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 19 | 32 | 32 | 51 | 54 | 1 | 2 |
| Prediction Trend | Up | Up | Up | Up | Up | Up | Down |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.551
Training Time: 13.47 seconds
Mean Squared Error (MSE): 178.1458622360702
Mean Absolute Error (MAE): 10.818739117002812
Huber Loss: 10.339078903198242
R-squared: -2.8397645247718186
SMAPE: 34.99536315049478


# LSTM Input: (192, 128, 128, 0.942)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | -45 | 620 | 184 | -2090 | -69 | 99 | 86 |
| Prediction Trend | Down | Up | Up | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.942
Training Time: 8.47 seconds
Mean Squared Error (MSE): 704024.8942284512
Mean Absolute Error (MAE): 461.0481215626204
Huber Loss: 460.5481262207031
R-squared: -8103.302429728244
SMAPE: 91.9699783962723


# LSTM Input: (192, 128, 128, 0.934)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | -1 | 16 | 34 | 40 | 38 | 3 | 7 |
| Prediction Trend | Down | Up | Up | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.934
Training Time: 13.61 seconds
Mean Squared Error (MSE): 82.34418963223335
Mean Absolute Error (MAE): 6.830027063282168
Huber Loss: 6.344597816467285
R-squared: -0.6848981164478456
SMAPE: 31.15304889029292


# LSTM Input: (192, 128, 128, 0.817)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 26 | -95 | 1 | -29 | 76 | 2 | 50 |
| Prediction Trend | Up | Down | Down | Down | Up | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.817
Training Time: 10.62 seconds
Mean Squared Error (MSE): 2931.574326745134
Mean Absolute Error (MAE): 42.08262486583522
Huber Loss: 41.58781051635742
R-squared: -67.84789798206624
SMAPE: 69.61072535405167


# LSTM Input: (192, 128, 128, 0.809)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 18 | 32 | 38 | 68 | 9 | 1 | 8 |
| Prediction Trend | Up | Up | Up | Up | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.809
Training Time: 13.63 seconds
Mean Squared Error (MSE): 439.35020593540577
Mean Absolute Error (MAE): 15.928828747094082
Huber Loss: 15.448033332824707
R-squared: -6.434870883265726
SMAPE: 37.46781130006839


# LSTM Input: (192, 128, 128, 0.692)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 821 | 95 | -17 | 2378 | -337 | 325 | -179 |
| Prediction Trend | Up | Up | Down | Up | Down | Up | Down |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.692
Training Time: 8.51 seconds
Mean Squared Error (MSE): 920609.8748433677
Mean Absolute Error (MAE): 594.7207535918878
Huber Loss: 594.2207641601562
R-squared: -14116.206033851575
SMAPE: 94.82176954441103


# LSTM Input: (192, 128, 128, 0.684)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | -270 | -820 | -566 | -939 | -236 | 168 | -111 |
| Prediction Trend | Down | Down | Down | Down | Down | Up | Down |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.684
Training Time: 8.63 seconds
Mean Squared Error (MSE): 313735.5233627555
Mean Absolute Error (MAE): 463.9984690607811
Huber Loss: 463.49847412109375
R-squared: -4734.645819787265
SMAPE: 99.31863975102081


# LSTM Input: (192, 128, 128, 0.567)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 178 | -204 | 87 | -220 | 158 | -39 | -60 |
| Prediction Trend | Up | Down | Up | Down | Up | Down | Down |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.567
Training Time: 8.52 seconds
Mean Squared Error (MSE): 23765.697181758795
Mean Absolute Error (MAE): 133.427582442355
Huber Loss: 132.92759704589844
R-squared: -476.64651228528237
SMAPE: 86.49610978188056


# LSTM Input: (192, 128, 128, 0.559)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 11 | 17 | 4 | 58 | 37 | 5 | 8 |
| Prediction Trend | Up | Up | Down | Up | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.559
Training Time: 12.57 seconds
Mean Squared Error (MSE): 199.7163388536269
Mean Absolute Error (MAE): 9.956686515791887
Huber Loss: 9.475204467773438
R-squared: -1.6920847103248577
SMAPE: 29.520435909902513


# LSTM Input: (192, 128, 128, 0.166)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 6 | 16 | 25 | 35 | 42 | 5 | 8 |
| Prediction Trend | Down | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.166
Training Time: 10.36 seconds
Mean Squared Error (MSE): 51.423995108880874
Mean Absolute Error (MAE): 5.325980029949526
Huber Loss: 4.84835958480835
R-squared: -0.03282155293381624
SMAPE: 19.310557248328976


# LSTM Input: (192, 128, 128, 0.012)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 7 | 14 | 28 | 36 | 46 | 4 | 9 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.012
Training Time: 28.53 seconds
Mean Squared Error (MSE): 50.69242437914103
Mean Absolute Error (MAE): 5.363975247152809
Huber Loss: 4.888942718505859
R-squared: -0.0048322278971040565
SMAPE: 19.163523614771787


# LSTM Input: (192, 128, 128, 0.044)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 8 | 16 | 25 | 33 | 42 | 4 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.044
Training Time: 18.47 seconds
Mean Squared Error (MSE): 50.332490462573084
Mean Absolute Error (MAE): 5.343468212756981
Huber Loss: 4.867000102996826
R-squared: -0.0011460910596964144
SMAPE: 19.144233713704267


# LSTM Input: (192, 128, 128, 0.414)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 10 | 21 | 34 | 28 | 38 | 7 | 9 |
| Prediction Trend | Up | Up | Up | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.414
Training Time: 10.06 seconds
Mean Squared Error (MSE): 72.9449551045524
Mean Absolute Error (MAE): 6.611410470235916
Huber Loss: 6.128810882568359
R-squared: -0.40883648482919593
SMAPE: 21.7140605791128


# LSTM Input: (192, 128, 128, 0.289)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 15 | 16 | 26 | 36 | 43 | 4 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.289
Training Time: 9.03 seconds
Mean Squared Error (MSE): 56.80822011203539
Mean Absolute Error (MAE): 5.779402184243105
Huber Loss: 5.300256729125977
R-squared: -0.1811060844461169
SMAPE: 20.60381707413299


# LSTM Input: (192, 128, 128, 0.878)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 280 | -190 | -121 | -141 | 139 | -24 | -24 |
| Prediction Trend | Up | Down | Down | Down | Up | Down | Down |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.878
Training Time: 10.37 seconds
Mean Squared Error (MSE): 25722.889258931806
Mean Absolute Error (MAE): 136.7025373711878
Huber Loss: 136.20254516601562
R-squared: -524.8441191018542
SMAPE: 92.58378429568381


# LSTM Input: (192, 128, 128, 0.753)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 0 | 39 | 21 | 14 | 30 | 6 | 15 |
| Prediction Trend | Down | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.753
Training Time: 16.51 seconds
Mean Squared Error (MSE): 217.38087052711512
Mean Absolute Error (MAE): 11.698268694384975
Huber Loss: 11.204521179199219
R-squared: -3.255304253626207
SMAPE: 40.567830486317355


# LSTM Input: (192, 128, 128, 0.628)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 9 | 12 | 19 | 25 | 45 | 4 | 10 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.628
Training Time: 14.95 seconds
Mean Squared Error (MSE): 71.2298903674542
Mean Absolute Error (MAE): 6.172151047356274
Huber Loss: 5.70021390914917
R-squared: -0.28876634570804793
SMAPE: 20.978026604897742


# LSTM Input: (192, 128, 128, 0.503)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | -63 | -250 | 63 | -152 | 210 | 105 | -23 |
| Prediction Trend | Down | Down | Up | Down | Up | Up | Down |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.503
Training Time: 8.38 seconds
Mean Squared Error (MSE): 21692.45348654176
Mean Absolute Error (MAE): 123.07198572158815
Huber Loss: 122.57198333740234
R-squared: -510.9375282184078
SMAPE: 86.22993676385165


# LSTM Input: (192, 128, 128, 0.378)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 9 | 18 | 25 | 32 | 45 | 4 | 9 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.378
Training Time: 9.63 seconds
Mean Squared Error (MSE): 52.983675140761406
Mean Absolute Error (MAE): 5.459677523901674
Huber Loss: 4.986009120941162
R-squared: -0.06128340120992015
SMAPE: 19.3736830959161


# LSTM Input: (192, 128, 128, 0.253)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 7 | 15 | 27 | 37 | 43 | 4 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.253
Training Time: 11.21 seconds
Mean Squared Error (MSE): 53.228879263344375
Mean Absolute Error (MAE): 5.3388081379488215
Huber Loss: 4.863450050354004
R-squared: -0.04470541591047272
SMAPE: 19.241213403774324


# LSTM Input: (192, 128, 128, 0.128)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 10 | 17 | 25 | 36 | 43 | 4 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.128
Training Time: 9.93 seconds
Mean Squared Error (MSE): 50.93669335651965
Mean Absolute Error (MAE): 5.361056157926313
Huber Loss: 4.879945755004883
R-squared: -0.017504221950171397
SMAPE: 19.382324875799306


# LSTM Input: (192, 128, 128, 0.886)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | -58 | 11 | -49 | -29 | 116 | -3 | 20 |
| Prediction Trend | Down | Up | Down | Down | Up | Down | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.886
Training Time: 11.15 seconds
Mean Squared Error (MSE): 2845.945018517123
Mean Absolute Error (MAE): 43.508753584355716
Huber Loss: 43.01307678222656
R-squared: -53.050439392767714
SMAPE: 74.00184872009586


# LSTM Input: (192, 128, 128, 0.761)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | -808 | 1061 | -1030 | -1039 | -144 | 81 | 118 |
| Prediction Trend | Down | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.761
Training Time: 8.28 seconds
Mean Squared Error (MSE): 582235.8671878797
Mean Absolute Error (MAE): 623.0747324625651
Huber Loss: 622.57470703125
R-squared: -8818.008707548965
SMAPE: 96.34764999706702


# LSTM Input: (192, 128, 128, 0.636)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | -47 | 487 | -425 | -23 | 43 | -2 | -64 |
| Prediction Trend | Down | Up | Down | Down | Down | Down | Down |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.636
Training Time: 8.84 seconds
Mean Squared Error (MSE): 62994.08555830122
Mean Absolute Error (MAE): 160.82072165871963
Huber Loss: 160.3297576904297
R-squared: -882.7816571268961
SMAPE: 81.31425069303576


# LSTM Input: (192, 128, 128, 0.511)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 14 | 26 | 32 | 41 | 46 | 4 | 7 |
| Prediction Trend | Up | Up | Up | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.511
Training Time: 9.19 seconds
Mean Squared Error (MSE): 82.77925358407424
Mean Absolute Error (MAE): 6.723559447697229
Huber Loss: 6.245158672332764
R-squared: -0.5156170970723121
SMAPE: 22.104947972125274


# LSTM Input: (192, 128, 128, 0.386)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 7 | 17 | 31 | 46 | 41 | 3 | 10 |
| Prediction Trend | Up | Up | Up | Up | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.386
Training Time: 11.45 seconds
Mean Squared Error (MSE): 77.8069209721248
Mean Absolute Error (MAE): 6.20409776239979
Huber Loss: 5.728599548339844
R-squared: -0.37617437511951224
SMAPE: 20.300026072522133


# LSTM Input: (192, 128, 128, 0.261)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 10 | 17 | 23 | 37 | 45 | 4 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.261
Training Time: 13.54 seconds
Mean Squared Error (MSE): 54.76281416896804
Mean Absolute Error (MAE): 5.482945510319301
Huber Loss: 5.005300045013428
R-squared: -0.07192939257014228
SMAPE: 19.575270622331207


# LSTM Input: (192, 128, 128, 0.136)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 7 | 14 | 23 | 32 | 42 | 4 | 8 |
| Prediction Trend | Down | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.136
Training Time: 10.91 seconds
Mean Squared Error (MSE): 53.05247247367537
Mean Absolute Error (MAE): 5.467192563880869
Huber Loss: 4.992109775543213
R-squared: -0.04482741362416668
SMAPE: 19.55380397771386


# LSTM Input: (192, 128, 128, 0.207)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 8 | 15 | 24 | 31 | 42 | 4 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.207
Training Time: 9.65 seconds
Mean Squared Error (MSE): 52.282721092482106
Mean Absolute Error (MAE): 5.442940974316629
Huber Loss: 4.966890335083008
R-squared: -0.03086483182510385
SMAPE: 19.424075380401266


# LSTM Input: (192, 128, 128, 0.947)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 32 | 32 | -17 | 117 | 3 | 1 | 34 |
| Prediction Trend | Up | Up | Down | Up | Down | Down | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.947
Training Time: 11.80 seconds
Mean Squared Error (MSE): 1725.4034089062754
Mean Absolute Error (MAE): 33.2706493521426
Huber Loss: 32.77864456176758
R-squared: -32.55644092587885
SMAPE: 65.79660275276697


# LSTM Input: (192, 128, 128, 0.822)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | -1034 | -888 | -1506 | -881 | -326 | -153 | -704 |
| Prediction Trend | Down | Down | Down | Down | Down | Down | Down |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.822
Training Time: 8.36 seconds
Mean Squared Error (MSE): 821076.6528333799
Mean Absolute Error (MAE): 803.931322474058
Huber Loss: 803.4312744140625
R-squared: -20586.011766582225
SMAPE: 100.0


# LSTM Input: (192, 128, 128, 0.697)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | -582 | 648 | 1087 | -239 | -544 | -38 | 323 |
| Prediction Trend | Down | Up | Up | Down | Down | Down | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.697
Training Time: 8.10 seconds
Mean Squared Error (MSE): 341873.8416340894
Mean Absolute Error (MAE): 499.8965844329523
Huber Loss: 499.3965759277344
R-squared: -6894.347496811796
SMAPE: 97.942836503502


# LSTM Input: (192, 128, 128, 0.572)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 38 | -24 | 87 | 97 | 21 | 16 | -6 |
| Prediction Trend | Up | Down | Up | Up | Down | Up | Down |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.572
Training Time: 9.33 seconds
Mean Squared Error (MSE): 1625.9753037236965
Mean Absolute Error (MAE): 34.39854901015353
Huber Loss: 33.89855194091797
R-squared: -25.97582718358391
SMAPE: 66.31487764433524


# LSTM Input: (192, 128, 128, 0.215)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 9 | 18 | 28 | 35 | 44 | 5 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.215
Training Time: 10.47 seconds
Mean Squared Error (MSE): 51.830704918017595
Mean Absolute Error (MAE): 5.394395657137138
Huber Loss: 4.917609691619873
R-squared: -0.025531380353570072
SMAPE: 19.321607606738507


# LSTM Input: (192, 128, 128, 0.09)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 9 | 17 | 26 | 34 | 42 | 4 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.09
Training Time: 10.49 seconds
Mean Squared Error (MSE): 50.38506232901168
Mean Absolute Error (MAE): 5.357716344651722
Huber Loss: 4.882382869720459
R-squared: -0.005861262669176336
SMAPE: 19.261541958035107


# LSTM Input: (192, 128, 128, 0.955)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | -491 | 626 | 1400 | 719 | 53 | 141 | 28 |
| Prediction Trend | Down | Up | Up | Up | Up | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.955
Training Time: 9.43 seconds
Mean Squared Error (MSE): 428264.7711101966
Mean Absolute Error (MAE): 476.3834332706166
Huber Loss: 475.8834533691406
R-squared: -5748.817633952037
SMAPE: 77.7354556124928


# LSTM Input: (192, 128, 128, 0.83)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 575 | -2207 | 2117 | -1440 | 1442 | -238 | -278 |
| Prediction Trend | Up | Down | Up | Down | Up | Down | Down |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.83
Training Time: 8.24 seconds
Mean Squared Error (MSE): 1986172.5019227716
Mean Absolute Error (MAE): 1182.945636853069
Huber Loss: 1182.445556640625
R-squared: -30096.782603161788
SMAPE: 98.43992888967544


# LSTM Input: (192, 128, 128, 0.705)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | -662 | -723 | -484 | -245 | 200 | -161 | 155 |
| Prediction Trend | Down | Down | Down | Down | Up | Down | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.705
Training Time: 8.38 seconds
Mean Squared Error (MSE): 200463.36605195832
Mean Absolute Error (MAE): 380.2234220699388
Huber Loss: 379.723388671875
R-squared: -4372.151298619917
SMAPE: 93.63170668963403


# LSTM Input: (192, 128, 128, 0.58)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 15 | -35 | -174 | 181 | -30 | 8 | -4 |
| Prediction Trend | Up | Down | Down | Up | Down | Up | Down |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.58
Training Time: 8.89 seconds
Mean Squared Error (MSE): 9952.459273647464
Mean Absolute Error (MAE): 70.55865840279326
Huber Loss: 70.06230163574219
R-squared: -119.70613599525113
SMAPE: 78.1357439444389


# LSTM Input: (192, 128, 128, 0.049)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 8 | 16 | 26 | 35 | 42 | 4 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.049
Training Time: 15.91 seconds
Mean Squared Error (MSE): 50.40938398737939
Mean Absolute Error (MAE): 5.300945489584995
Huber Loss: 4.828652858734131
R-squared: -0.002860429310251814
SMAPE: 19.04617038849126


# LSTM Input: (192, 128, 128, 0.419)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 11 | 20 | 27 | 34 | 42 | 4 | 7 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.419
Training Time: 9.38 seconds
Mean Squared Error (MSE): 53.56746580167863
Mean Absolute Error (MAE): 5.582899845376306
Huber Loss: 5.103649616241455
R-squared: -0.0603451037020072
SMAPE: 19.87629885931734


# LSTM Input: (192, 128, 128, 0.294)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 7 | 14 | 23 | 36 | 45 | 4 | 8 |
| Prediction Trend | Down | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.294
Training Time: 9.04 seconds
Mean Squared Error (MSE): 53.823379716234854
Mean Absolute Error (MAE): 5.389794159908684
Huber Loss: 4.911361217498779
R-squared: -0.06752320016271807
SMAPE: 19.494581569649473


# LSTM Input: (192, 128, 128, 0.427)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 8 | 18 | 28 | 32 | 43 | 4 | 7 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.427
Training Time: 10.57 seconds
Mean Squared Error (MSE): 52.83031072432591
Mean Absolute Error (MAE): 5.477565039582804
Huber Loss: 4.996063709259033
R-squared: -0.04270738056755704
SMAPE: 19.507237870084843


# LSTM Input: (192, 128, 128, 0.302)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 12 | 15 | 27 | 34 | 43 | 5 | 7 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.302
Training Time: 9.67 seconds
Mean Squared Error (MSE): 52.83065662639985
Mean Absolute Error (MAE): 5.5783072734365655
Huber Loss: 5.095096588134766
R-squared: -0.08314388754007893
SMAPE: 20.163168639953707


# LSTM Input: (192, 128, 128, 0.177)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 9 | 16 | 26 | 35 | 43 | 4 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.177
Training Time: 9.49 seconds
Mean Squared Error (MSE): 50.58003647645974
Mean Absolute Error (MAE): 5.3242329505025126
Huber Loss: 4.85357141494751
R-squared: -0.00545119272995482
SMAPE: 19.166369876774265


# LSTM Input: (192, 128, 128, 0.891)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 4 | -27 | 43 | 45 | 81 | -10 | 2 |
| Prediction Trend | Down | Down | Up | Up | Up | Down | Down |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.891
Training Time: 9.92 seconds
Mean Squared Error (MSE): 638.3302504092434
Mean Absolute Error (MAE): 19.660667203721545
Huber Loss: 19.166919708251953
R-squared: -13.884678571480979
SMAPE: 52.67256619741949


# LSTM Input: (192, 128, 128, 0.766)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | -211 | 140 | 403 | 16 | -212 | 127 | -66 |
| Prediction Trend | Down | Up | Up | Down | Down | Up | Down |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.766
Training Time: 8.31 seconds
Mean Squared Error (MSE): 41689.53750262795
Mean Absolute Error (MAE): 170.78608431368053
Huber Loss: 170.2864532470703
R-squared: -1015.6144515408607
SMAPE: 87.060049302012


# LSTM Input: (192, 128, 128, 0.641)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 14 | 24 | -6 | 42 | 44 | 14 | 6 |
| Prediction Trend | Up | Up | Down | Up | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.641
Training Time: 10.03 seconds
Mean Squared Error (MSE): 226.59663959291723
Mean Absolute Error (MAE): 10.82417548108263
Huber Loss: 10.33305835723877
R-squared: -3.5918817222431394
SMAPE: 37.920260549166535


# LSTM Input: (192, 128, 128, 0.516)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 27 | 23 | 47 | 62 | 39 | 0 | 8 |
| Prediction Trend | Up | Up | Up | Up | Down | Down | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.516
Training Time: 13.58 seconds
Mean Squared Error (MSE): 288.8637588361723
Mean Absolute Error (MAE): 12.863933521874094
Huber Loss: 12.376228332519531
R-squared: -3.7562807541991883
SMAPE: 37.36519847040354


# LSTM Input: (192, 128, 128, 0.391)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 7 | 10 | 30 | 42 | 48 | 3 | 8 |
| Prediction Trend | Up | Up | Down | Up | Up | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.391
Training Time: 10.81 seconds
Mean Squared Error (MSE): 74.69336122215284
Mean Absolute Error (MAE): 6.061378798922713
Huber Loss: 5.583454608917236
R-squared: -0.3658695707427711
SMAPE: 20.778643956685343


# LSTM Input: (192, 128, 128, 0.266)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 8 | 14 | 25 | 33 | 42 | 4 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.266
Training Time: 11.62 seconds
Mean Squared Error (MSE): 51.891627895654175
Mean Absolute Error (MAE): 5.3835387302904705
Huber Loss: 4.904167175292969
R-squared: -0.024111019350905698
SMAPE: 19.302910662537705


# LSTM Input: (192, 128, 128, 0.899)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | -515 | -172 | 716 | 93 | 486 | -358 | 248 |
| Prediction Trend | Down | Down | Up | Up | Up | Down | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.899
Training Time: 8.36 seconds
Mean Squared Error (MSE): 135486.68432959402
Mean Absolute Error (MAE): 314.39117785862516
Huber Loss: 313.89117431640625
R-squared: -4573.933715793265
SMAPE: 88.97966504293655


# LSTM Input: (192, 128, 128, 0.774)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 14 | 112 | -54 | 41 | 18 | 0 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Down | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.774
Training Time: 12.12 seconds
Mean Squared Error (MSE): 2355.021512760929
Mean Absolute Error (MAE): 31.64242726118386
Huber Loss: 31.155399322509766
R-squared: -30.63747433629999
SMAPE: 51.46089808072812


# LSTM Input: (192, 128, 128, 0.649)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | -117 | -136 | -64 | 163 | 137 | -23 | 44 |
| Prediction Trend | Down | Down | Down | Up | Up | Down | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.649
Training Time: 10.09 seconds
Mean Squared Error (MSE): 10698.650815289575
Mean Absolute Error (MAE): 93.41267169900493
Huber Loss: 92.91267395019531
R-squared: -212.7470319499803
SMAPE: 84.09555605382167


# LSTM Input: (192, 128, 128, 0.524)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 13 | 17 | 17 | 28 | 42 | 3 | 7 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.524
Training Time: 9.91 seconds
Mean Squared Error (MSE): 67.41629317507972
Mean Absolute Error (MAE): 6.2615949657498575
Huber Loss: 5.783027172088623
R-squared: -0.26798492930003703
SMAPE: 21.788454787978893


# LSTM Input: (192, 128, 128, 0.399)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 10 | 19 | 27 | 33 | 44 | 5 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.399
Training Time: 12.41 seconds
Mean Squared Error (MSE): 52.341592550460916
Mean Absolute Error (MAE): 5.461637179867751
Huber Loss: 4.9827961921691895
R-squared: -0.03837868290420917
SMAPE: 19.465282043839625


# LSTM Input: (192, 128, 128, 0.274)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 10 | 20 | 25 | 32 | 41 | 4 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.274
Training Time: 9.49 seconds
Mean Squared Error (MSE): 53.0418638441868
Mean Absolute Error (MAE): 5.587885157591633
Huber Loss: 5.111775875091553
R-squared: -0.043761094027867174
SMAPE: 19.71275375558974


# LSTM Input: (192, 128, 128, 0.96)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | -19 | 35 | 142 | -40 | 6 | 18 | 13 |
| Prediction Trend | Down | Up | Up | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.96
Training Time: 17.40 seconds
Mean Squared Error (MSE): 3136.1016366743193
Mean Absolute Error (MAE): 41.62086503197546
Huber Loss: 41.121524810791016
R-squared: -41.33655596946561
SMAPE: 67.9158342245919


# LSTM Input: (192, 128, 128, 0.835)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 29 | 105 | 38 | 62 | 55 | 0 | 9 |
| Prediction Trend | Up | Up | Up | Up | Up | Down | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.835
Training Time: 16.24 seconds
Mean Squared Error (MSE): 1542.7063062662942
Mean Absolute Error (MAE): 25.2994311400214
Huber Loss: 24.80904769897461
R-squared: -21.904509158898726
SMAPE: 42.54561660533599


# LSTM Input: (192, 128, 128, 0.71)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 92 | 28 | 63 | -5 | 91 | 0 | 0 |
| Prediction Trend | Up | Up | Up | Down | Up | Down | Down |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.71
Training Time: 9.61 seconds
Mean Squared Error (MSE): 1829.5787713813877
Mean Absolute Error (MAE): 33.43163295201703
Huber Loss: 32.93328857421875
R-squared: -41.66983212715924
SMAPE: 70.92849100196655


# LSTM Input: (192, 128, 128, 0.585)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 24 | 30 | 41 | 20 | 48 | 2 | 10 |
| Prediction Trend | Up | Up | Up | Down | Up | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.585
Training Time: 14.02 seconds
Mean Squared Error (MSE): 181.92958983540387
Mean Absolute Error (MAE): 10.354137689077934
Huber Loss: 9.870229721069336
R-squared: -2.302342451149682
SMAPE: 28.58029935461627


# LSTM Input: (192, 128, 128, 0.228)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 9 | 17 | 26 | 34 | 41 | 4 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.228
Training Time: 9.25 seconds
Mean Squared Error (MSE): 50.62190443631316
Mean Absolute Error (MAE): 5.372258168499487
Huber Loss: 4.905018329620361
R-squared: -0.006465792732496066
SMAPE: 19.186669695742058


# LSTM Input: (192, 128, 128, 0.042)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 9 | 17 | 26 | 34 | 42 | 4 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.042
Training Time: 15.29 seconds
Mean Squared Error (MSE): 50.30415523297417
Mean Absolute Error (MAE): 5.32507108587797
Huber Loss: 4.853682994842529
R-squared: -0.000782300034922967
SMAPE: 19.10767111625965


# LSTM Input: (192, 128, 128, 0.968)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 946 | 179 | 595 | 904 | -937 | 599 | -264 |
| Prediction Trend | Up | Up | Up | Up | Down | Up | Down |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.968
Training Time: 8.63 seconds
Mean Squared Error (MSE): 482109.9954853047
Mean Absolute Error (MAE): 626.6302305208583
Huber Loss: 626.1301879882812
R-squared: -15980.417248125825
SMAPE: 94.99379419954617


# LSTM Input: (192, 128, 128, 0.843)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 5 | 33 | 43 | 40 | 57 | 7 | 6 |
| Prediction Trend | Down | Up | Up | Down | Up | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.843
Training Time: 22.63 seconds
Mean Squared Error (MSE): 173.93884990436214
Mean Absolute Error (MAE): 9.891583773554586
Huber Loss: 9.40757942199707
R-squared: -2.022687823112299
SMAPE: 26.36353896842361


# LSTM Input: (192, 128, 128, 0.718)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | -27 | 24 | 62 | 65 | 54 | 11 | 22 |
| Prediction Trend | Down | Up | Up | Up | Up | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.718
Training Time: 15.13 seconds
Mean Squared Error (MSE): 629.5503814566607
Mean Absolute Error (MAE): 20.841760093663016
Huber Loss: 20.343338012695312
R-squared: -13.47438245300244
SMAPE: 44.880691504009356


# LSTM Input: (192, 128, 128, 0.593)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 24 | -34 | -16 | 79 | 27 | -7 | 17 |
| Prediction Trend | Up | Down | Down | Up | Down | Down | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.593
Training Time: 14.08 seconds
Mean Squared Error (MSE): 1050.5895375528846
Mean Absolute Error (MAE): 26.85370115114718
Huber Loss: 26.353904724121094
R-squared: -16.397101218512624
SMAPE: 64.3928646710204


# LSTM Input: (192, 128, 128, 0.106)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 8 | 17 | 24 | 34 | 43 | 4 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.106
Training Time: 10.83 seconds
Mean Squared Error (MSE): 50.60470229859764
Mean Absolute Error (MAE): 5.342327557453492
Huber Loss: 4.864798545837402
R-squared: -0.009247600337781334
SMAPE: 19.21119293443752


# LSTM Input: (192, 128, 128, 0.432)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 22 | 15 | 21 | 39 | 47 | 4 | 11 |
| Prediction Trend | Up | Up | Down | Down | Up | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.432
Training Time: 9.46 seconds
Mean Squared Error (MSE): 88.14586475241352
Mean Absolute Error (MAE): 7.071422190893264
Huber Loss: 6.592684745788574
R-squared: -1.0821285707734272
SMAPE: 23.12022857586799


# LSTM Input: (192, 128, 128, 0.307)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 9 | 18 | 25 | 35 | 44 | 3 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.307
Training Time: 9.70 seconds
Mean Squared Error (MSE): 51.22599590860675
Mean Absolute Error (MAE): 5.336562619322821
Huber Loss: 4.865058898925781
R-squared: -0.0291372607372175
SMAPE: 19.28954076009046


# LSTM Input: (192, 128, 128, 0.182)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 7 | 15 | 24 | 32 | 44 | 4 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.182
Training Time: 9.12 seconds
Mean Squared Error (MSE): 52.255552988218845
Mean Absolute Error (MAE): 5.391190225575246
Huber Loss: 4.918661117553711
R-squared: -0.039365335859520734
SMAPE: 19.369460666733048


# LSTM Input: (192, 128, 128, 0.44)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 12 | 13 | 26 | 33 | 35 | 6 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.44
Training Time: 9.13 seconds
Mean Squared Error (MSE): 61.989654675336624
Mean Absolute Error (MAE): 6.186885721018525
Huber Loss: 5.704409122467041
R-squared: -0.27556400670252423
SMAPE: 21.184025737011975


# LSTM Input: (192, 128, 128, 0.315)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 9 | 18 | 26 | 35 | 44 | 4 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.315
Training Time: 10.73 seconds
Mean Squared Error (MSE): 51.56255187902726
Mean Absolute Error (MAE): 5.341949998926955
Huber Loss: 4.875348091125488
R-squared: -0.022997295486342346
SMAPE: 19.151970626736457


# LSTM Input: (192, 128, 128, 0.19)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 7 | 16 | 26 | 35 | 42 | 4 | 8 |
| Prediction Trend | Down | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.19
Training Time: 10.28 seconds
Mean Squared Error (MSE): 51.055303838194575
Mean Absolute Error (MAE): 5.290604144132056
Huber Loss: 4.821949005126953
R-squared: -0.01721961403668169
SMAPE: 19.051144846012647


# LSTM Input: (192, 128, 128, 0.065)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 8 | 17 | 24 | 34 | 42 | 4 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.065
Training Time: 12.08 seconds
Mean Squared Error (MSE): 50.45938161494858
Mean Absolute Error (MAE): 5.353880309734215
Huber Loss: 4.880215644836426
R-squared: -0.0027634827144040752
SMAPE: 19.151767542172124


# LSTM Input: (192, 128, 128, 0.904)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 1326 | -1275 | -1048 | 539 | -1410 | 581 | 17 |
| Prediction Trend | Up | Down | Down | Up | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.904
Training Time: 8.48 seconds
Mean Squared Error (MSE): 1035845.8485545736
Mean Absolute Error (MAE): 889.1789198116379
Huber Loss: 888.678955078125
R-squared: -25213.792157443302
SMAPE: 88.94781050459756


# LSTM Input: (192, 128, 128, 0.779)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 14 | -60 | 2 | -184 | 120 | -4 | 36 |
| Prediction Trend | Up | Down | Down | Down | Up | Down | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.779
Training Time: 11.24 seconds
Mean Squared Error (MSE): 8725.028355729697
Mean Absolute Error (MAE): 62.495262822731824
Huber Loss: 61.99715042114258
R-squared: -119.8892642850045
SMAPE: 75.3977215663043


# LSTM Input: (192, 128, 128, 0.654)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 13 | 20 | 27 | 41 | 52 | 6 | 9 |
| Prediction Trend | Up | Up | Down | Down | Up | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.654
Training Time: 10.89 seconds
Mean Squared Error (MSE): 76.42314055488905
Mean Absolute Error (MAE): 6.584327828316462
Huber Loss: 6.103501319885254
R-squared: -0.5674188278833058
SMAPE: 21.418861575909688


# LSTM Input: (192, 128, 128, 0.529)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 11 | 19 | 24 | 38 | 44 | 13 | 7 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.529
Training Time: 12.36 seconds
Mean Squared Error (MSE): 67.1531803538476
Mean Absolute Error (MAE): 6.516439675473842
Huber Loss: 6.029005527496338
R-squared: -1.5029125776827306
SMAPE: 23.501746830229884


# LSTM Input: (192, 128, 128, 0.448)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 2 | -1 | 37 | 37 | 42 | 6 | 11 |
| Prediction Trend | Down | Down | Up | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.448
Training Time: 10.51 seconds
Mean Squared Error (MSE): 124.1229844251177
Mean Absolute Error (MAE): 8.032451507793803
Huber Loss: 7.547916412353516
R-squared: -1.2000762318184903
SMAPE: 35.99146525112148


# LSTM Input: (192, 128, 128, 0.404)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 8 | 18 | 20 | 16 | 35 | 6 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.404
Training Time: 10.29 seconds
Mean Squared Error (MSE): 108.51850839447329
Mean Absolute Error (MAE): 7.576055621614261
Huber Loss: 7.0973992347717285
R-squared: -0.8071111147460603
SMAPE: 23.845142692546393


# LSTM Input: (192, 128, 128, 0.323)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 8 | 20 | 27 | 33 | 43 | 6 | 9 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.323
Training Time: 9.04 seconds
Mean Squared Error (MSE): 53.78779669691181
Mean Absolute Error (MAE): 5.538241799185876
Huber Loss: 5.056675434112549
R-squared: -0.108252213418412
SMAPE: 19.711246853000976


# LSTM Input: (192, 128, 128, 0.279)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 8 | 15 | 26 | 34 | 42 | 4 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.279
Training Time: 9.56 seconds
Mean Squared Error (MSE): 50.62561871134831
Mean Absolute Error (MAE): 5.328103647751062
Huber Loss: 4.854715347290039
R-squared: -0.011432190079288671
SMAPE: 19.234092299380514


# LSTM Input: (192, 128, 128, 0.198)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 8 | 17 | 24 | 35 | 43 | 5 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.198
Training Time: 10.31 seconds
Mean Squared Error (MSE): 50.738588653131615
Mean Absolute Error (MAE): 5.324540581832936
Huber Loss: 4.845292568206787
R-squared: -0.010656928389448872
SMAPE: 19.15313338856083


# LSTM Input: (192, 128, 128, 0.144)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 9 | 16 | 26 | 34 | 42 | 4 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.144
Training Time: 10.29 seconds
Mean Squared Error (MSE): 50.36150735996333
Mean Absolute Error (MAE): 5.314320587787499
Huber Loss: 4.84114933013916
R-squared: -0.0019731912573493888
SMAPE: 19.09001250707989


# LSTM Input: (192, 128, 128, 0.912)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 66 | 120 | 89 | 31 | 14 | 5 | 14 |
| Prediction Trend | Up | Up | Up | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.912
Training Time: 16.12 seconds
Mean Squared Error (MSE): 2739.0121361319043
Mean Absolute Error (MAE): 38.40459437191892
Huber Loss: 37.91225051879883
R-squared: -44.00829705571179
SMAPE: 47.700715813724216


# LSTM Input: (192, 128, 128, 0.787)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 118 | -2 | 22 | 138 | 56 | 24 | 7 |
| Prediction Trend | Up | Down | Down | Up | Up | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.787
Training Time: 12.61 seconds
Mean Squared Error (MSE): 3479.4801793326938
Mean Absolute Error (MAE): 39.825808819459404
Huber Loss: 39.332847595214844
R-squared: -73.889796026045
SMAPE: 53.074519605276514


# LSTM Input: (192, 128, 128, 0.662)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 20 | 36 | 72 | 29 | 52 | 12 | 14 |
| Prediction Trend | Up | Up | Up | Down | Up | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.662
Training Time: 10.88 seconds
Mean Squared Error (MSE): 465.42593061954585
Mean Absolute Error (MAE): 15.942004584941733
Huber Loss: 15.445027351379395
R-squared: -6.790362656782156
SMAPE: 34.9714313690576


# LSTM Input: (192, 128, 128, 0.537)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 15 | 40 | 5 | 22 | 39 | 10 | 5 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Down |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.537
Training Time: 11.28 seconds
Mean Squared Error (MSE): 223.14973545280026
Mean Absolute Error (MAE): 11.565276901738173
Huber Loss: 11.079798698425293
R-squared: -3.044384609206216
SMAPE: 35.433309262590875


# LSTM Input: (192, 128, 128, 0.152)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 8 | 18 | 25 | 34 | 42 | 4 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.152
Training Time: 9.59 seconds
Mean Squared Error (MSE): 50.76428070072917
Mean Absolute Error (MAE): 5.342431237502973
Huber Loss: 4.866408824920654
R-squared: -0.011588704511615169
SMAPE: 19.170094134951103


# LSTM Input: (192, 128, 128, 0.92)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 49 | 63 | 24 | 67 | 12 | -10 | 16 |
| Prediction Trend | Up | Up | Down | Up | Down | Down | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.92
Training Time: 13.15 seconds
Mean Squared Error (MSE): 1671.7165363389324
Mean Absolute Error (MAE): 32.61509039612854
Huber Loss: 32.1162109375
R-squared: -41.859076167287455
SMAPE: 55.722184484185924


# LSTM Input: (192, 128, 128, 0.795)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 11 | 19 | 15 | 41 | 43 | 4 | 8 |
| Prediction Trend | Up | Up | Down | Up | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.795
Training Time: 14.63 seconds
Mean Squared Error (MSE): 73.64067898597425
Mean Absolute Error (MAE): 6.130652226558348
Huber Loss: 5.653635501861572
R-squared: -0.2683990464397238
SMAPE: 21.048296261021772


# LSTM Input: (192, 128, 128, 0.67)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | -33 | 38 | 12 | 45 | 4 | 6 | 6 |
| Prediction Trend | Down | Up | Down | Up | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.67
Training Time: 14.58 seconds
Mean Squared Error (MSE): 611.033378988359
Mean Absolute Error (MAE): 18.89250215056802
Huber Loss: 18.40474510192871
R-squared: -12.977652133740309
SMAPE: 46.9409191910103


# LSTM Input: (192, 128, 128, 0.545)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 5 | -14 | 35 | 35 | 55 | 8 | 9 |
| Prediction Trend | Down | Down | Up | Down | Up | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.545
Training Time: 14.47 seconds
Mean Squared Error (MSE): 227.25783078722816
Mean Absolute Error (MAE): 10.620772249033662
Huber Loss: 10.134511947631836
R-squared: -2.9064743272290516
SMAPE: 34.01074423865062


# LSTM Input: (192, 128, 128, 0.973)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 623 | 409 | -589 | 655 | 468 | -160 | 65 |
| Prediction Trend | Up | Up | Down | Up | Up | Down | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.973
Training Time: 9.78 seconds
Mean Squared Error (MSE): 216394.10506905717
Mean Absolute Error (MAE): 414.0527492769721
Huber Loss: 413.552734375
R-squared: -4137.938059722734
SMAPE: 91.74354693740345


# LSTM Input: (192, 128, 128, 0.848)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 155 | 54 | 222 | -40 | 29 | -44 | 27 |
| Prediction Trend | Up | Up | Up | Down | Down | Down | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.848
Training Time: 12.36 seconds
Mean Squared Error (MSE): 10037.112588531902
Mean Absolute Error (MAE): 76.5446503827361
Huber Loss: 76.04472351074219
R-squared: -206.55667102738167
SMAPE: 71.18023307366047


# LSTM Input: (192, 128, 128, 0.723)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 94 | 13 | -116 | 113 | 179 | -8 | 19 |
| Prediction Trend | Up | Up | Down | Up | Up | Down | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.723
Training Time: 10.91 seconds
Mean Squared Error (MSE): 7577.19849889213
Mean Absolute Error (MAE): 67.53708358686796
Huber Loss: 67.03804779052734
R-squared: -133.98825805463977
SMAPE: 66.4073183084333


# LSTM Input: (192, 128, 128, 0.598)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 23 | 7 | 44 | 45 | 52 | 0 | 8 |
| Prediction Trend | Up | Down | Up | Up | Up | Down | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.598
Training Time: 10.91 seconds
Mean Squared Error (MSE): 177.0696610512637
Mean Absolute Error (MAE): 10.208216954149359
Huber Loss: 9.723063468933105
R-squared: -2.3326552543820283
SMAPE: 33.61780468649066


# LSTM Input: (192, 128, 128, 0.473)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 18 | 8 | 21 | 33 | 45 | 4 | 10 |
| Prediction Trend | Up | Down | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.473
Training Time: 11.89 seconds
Mean Squared Error (MSE): 76.71744785593354
Mean Absolute Error (MAE): 6.644533564444302
Huber Loss: 6.163331031799316
R-squared: -0.5859800986147761
SMAPE: 23.159490900938955


# LSTM Input: (192, 128, 128, 0.348)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 7 | 18 | 20 | 37 | 45 | 5 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.348
Training Time: 12.31 seconds
Mean Squared Error (MSE): 58.32904598399823
Mean Absolute Error (MAE): 5.559593104991785
Huber Loss: 5.084886074066162
R-squared: -0.12495158381970788
SMAPE: 19.700820249746005


# LSTM Input: (192, 128, 128, 0.111)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 9 | 17 | 24 | 35 | 41 | 4 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.111
Training Time: 9.70 seconds
Mean Squared Error (MSE): 50.803880715483395
Mean Absolute Error (MAE): 5.38691547452187
Huber Loss: 4.918352127075195
R-squared: -0.009016108737505801
SMAPE: 19.226706889071547


# LSTM Input: (192, 128, 128, 0.002)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 4 | 11 | 22 | 29 | 43 | 5 | 8 |
| Prediction Trend | Down | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.002
Training Time: 25.02 seconds
Mean Squared Error (MSE): 63.066876311242765
Mean Absolute Error (MAE): 5.918623673469843
Huber Loss: 5.445260047912598
R-squared: -0.2356443213927529
SMAPE: 20.770334947988122


# LSTM Input: (192, 128, 128, 0.018)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 9 | 18 | 27 | 36 | 44 | 5 | 9 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.018
Training Time: 24.87 seconds
Mean Squared Error (MSE): 49.62057626030491
Mean Absolute Error (MAE): 5.242698414796065
Huber Loss: 4.769704341888428
R-squared: 0.007916335512947839
SMAPE: 18.98361317591516


# LSTM Input: (192, 128, 128, 0.981)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | -36 | 360 | -1130 | -591 | -130 | -244 | -261 |
| Prediction Trend | Down | Up | Down | Down | Down | Down | Down |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.981
Training Time: 9.31 seconds
Mean Squared Error (MSE): 287011.66680277506
Mean Absolute Error (MAE): 408.19417276187824
Huber Loss: 407.6941833496094
R-squared: -5387.2240290880045
SMAPE: 98.75785033040954


# LSTM Input: (192, 128, 128, 0.856)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | -21 | 23 | 28 | 39 | 66 | 7 | 7 |
| Prediction Trend | Down | Up | Down | Down | Up | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.856
Training Time: 11.84 seconds
Mean Squared Error (MSE): 266.98924032796793
Mean Absolute Error (MAE): 12.173184784902194
Huber Loss: 11.683502197265625
R-squared: -5.593725348098862
SMAPE: 33.673226043256115


# LSTM Input: (192, 128, 128, 0.731)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 16 | 78 | -31 | 87 | 84 | 8 | 12 |
| Prediction Trend | Up | Up | Down | Up | Up | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.731
Training Time: 12.92 seconds
Mean Squared Error (MSE): 1702.251264072156
Mean Absolute Error (MAE): 32.79201085713445
Huber Loss: 32.29861831665039
R-squared: -23.253771592859476
SMAPE: 49.894230542174455


# LSTM Input: (192, 128, 128, 0.606)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 29 | -86 | 873 | -1254 | 405 | -68 | 69 |
| Prediction Trend | Up | Down | Up | Down | Up | Down | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.606
Training Time: 7.83 seconds
Mean Squared Error (MSE): 361205.75832229684
Mean Absolute Error (MAE): 393.3425072747833
Huber Loss: 392.8424987792969
R-squared: -4283.042666026458
SMAPE: 87.51628906382264


# LSTM Input: (192, 128, 128, 0.481)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 15 | 18 | 32 | 26 | 46 | 3 | 8 |
| Prediction Trend | Up | Up | Up | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.481
Training Time: 9.11 seconds
Mean Squared Error (MSE): 73.73541807814388
Mean Absolute Error (MAE): 6.523058901027757
Huber Loss: 6.044413089752197
R-squared: -0.42271788262612237
SMAPE: 21.985246099357923


# LSTM Input: (192, 128, 128, 0.356)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 18 | 22 | 19 | 24 | 46 | 4 | 10 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.356
Training Time: 9.92 seconds
Mean Squared Error (MSE): 89.3564450446274
Mean Absolute Error (MAE): 7.260987592392227
Huber Loss: 6.77600622177124
R-squared: -0.740669759526819
SMAPE: 23.47060207191938


# LSTM Input: (192, 128, 128, 0.989)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | -714 | -1166 | -998 | -1606 | -821 | 353 | 284 |
| Prediction Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.989
Training Time: 9.93 seconds
Mean Squared Error (MSE): 976099.1258264441
Mean Absolute Error (MAE): 882.0509018151937
Huber Loss: 881.5509033203125
R-squared: -17290.948660685954
SMAPE: 98.89595438038423


# LSTM Input: (192, 128, 128, 0.864)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 1605 | -650 | -289 | -329 | 1522 | 615 | 221 |
| Prediction Trend | Up | Down | Down | Down | Up | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.864
Training Time: 8.39 seconds
Mean Squared Error (MSE): 833121.6047937452
Mean Absolute Error (MAE): 749.3015335498213
Huber Loss: 748.801513671875
R-squared: -25925.42081267032
SMAPE: 97.87933966098954


# LSTM Input: (192, 128, 128, 0.739)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | -297 | 72 | -253 | -627 | 402 | -126 | -112 |
| Prediction Trend | Down | Up | Down | Down | Up | Down | Down |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.739
Training Time: 8.44 seconds
Mean Squared Error (MSE): 117029.77540483986
Mean Absolute Error (MAE): 276.7441614176951
Huber Loss: 276.24420166015625
R-squared: -2221.1196807458264
SMAPE: 91.53968918408884


# LSTM Input: (192, 128, 128, 0.614)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 212 | -333 | -117 | 76 | 112 | -18 | -58 |
| Prediction Trend | Up | Down | Down | Up | Up | Down | Down |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.614
Training Time: 8.48 seconds
Mean Squared Error (MSE): 27496.893231966736
Mean Absolute Error (MAE): 126.71677723385038
Huber Loss: 126.2167739868164
R-squared: -540.2145182377071
SMAPE: 82.3252067702487


# LSTM Input: (192, 128, 128, 0.489)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 9 | 22 | 33 | 32 | 41 | 2 | 8 |
| Prediction Trend | Up | Up | Up | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.489
Training Time: 9.37 seconds
Mean Squared Error (MSE): 63.34073388897782
Mean Absolute Error (MAE): 6.003075534186395
Huber Loss: 5.526137351989746
R-squared: -0.24245889506657467
SMAPE: 21.215581269653384


# LSTM Input: (192, 128, 128, 0.364)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 3 | 9 | 16 | 36 | 37 | 7 | 14 |
| Prediction Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.364
Training Time: 9.76 seconds
Mean Squared Error (MSE): 84.39168056176796
Mean Absolute Error (MAE): 7.183011153928277
Huber Loss: 6.696480751037598
R-squared: -1.1764498190586876
SMAPE: 26.33076751501178


# LSTM Input: (192, 128, 128, 0.239)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 8 | 16 | 26 | 35 | 44 | 5 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.239
Training Time: 9.63 seconds
Mean Squared Error (MSE): 51.04196865078098
Mean Absolute Error (MAE): 5.3129923935650165
Huber Loss: 4.839607238769531
R-squared: -0.019889902300495095
SMAPE: 19.18608703767481


# LSTM Input: (192, 128, 128, 0.453)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 6 | 27 | 19 | 54 | 32 | 4 | 9 |
| Prediction Trend | Down | Up | Down | Up | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.453
Training Time: 8.94 seconds
Mean Squared Error (MSE): 142.93920338924437
Mean Absolute Error (MAE): 8.751646661839517
Huber Loss: 8.27226734161377
R-squared: -1.2388962860727306
SMAPE: 23.864965923407343


# LSTM Input: (192, 128, 128, 0.328)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 16 | 17 | 28 | 35 | 45 | 7 | 7 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.328
Training Time: 9.22 seconds
Mean Squared Error (MSE): 61.382708357571595
Mean Absolute Error (MAE): 6.085516414674772
Huber Loss: 5.599930763244629
R-squared: -0.3786208905389765
SMAPE: 21.676785971332272


# LSTM Input: (192, 128, 128, 0.203)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 10 | 17 | 26 | 36 | 44 | 4 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.203
Training Time: 9.66 seconds
Mean Squared Error (MSE): 51.72576202508231
Mean Absolute Error (MAE): 5.3771272163812815
Huber Loss: 4.901590824127197
R-squared: -0.03462942620835584
SMAPE: 19.423976399937146


# LSTM Input: (192, 128, 128, 0.073)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 9 | 17 | 25 | 33 | 42 | 4 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.073
Training Time: 11.42 seconds
Mean Squared Error (MSE): 50.47174957970287
Mean Absolute Error (MAE): 5.3605431638607355
Huber Loss: 4.890559673309326
R-squared: -0.005077588479313658
SMAPE: 19.20718345692651


# LSTM Input: (192, 128, 128, 0.461)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 8 | 20 | 23 | 32 | 45 | 5 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.461
Training Time: 11.21 seconds
Mean Squared Error (MSE): 53.930598107300156
Mean Absolute Error (MAE): 5.510687120917703
Huber Loss: 5.032970428466797
R-squared: -0.06474276767240202
SMAPE: 19.477127182628216


# LSTM Input: (192, 128, 128, 0.336)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 8 | 16 | 25 | 35 | 43 | 3 | 9 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.336
Training Time: 9.13 seconds
Mean Squared Error (MSE): 51.01764556810861
Mean Absolute Error (MAE): 5.288396702331751
Huber Loss: 4.813751220703125
R-squared: -0.03439955326811828
SMAPE: 19.14474186317146


# LSTM Input: (192, 128, 128, 0.081)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 8 | 16 | 24 | 33 | 42 | 4 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.081
Training Time: 12.11 seconds
Mean Squared Error (MSE): 50.55044625182414
Mean Absolute Error (MAE): 5.326613602184113
Huber Loss: 4.849884986877441
R-squared: -0.004797008596419231
SMAPE: 19.093975991328254


# LSTM Input: (192, 128, 128, 0.157)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 7 | 17 | 25 | 33 | 42 | 4 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.157
Training Time: 9.80 seconds
Mean Squared Error (MSE): 50.823595718772275
Mean Absolute Error (MAE): 5.34831834974743
Huber Loss: 4.87451171875
R-squared: -0.009439710014265261
SMAPE: 19.121123910219858


# LSTM Input: (192, 128, 128, 0.925)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 25 | 29 | 39 | 2 | 44 | 9 | 10 |
| Prediction Trend | Up | Up | Up | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.925
Training Time: 10.68 seconds
Mean Squared Error (MSE): 284.03642823198817
Mean Absolute Error (MAE): 12.551625449641223
Huber Loss: 12.069110870361328
R-squared: -3.665454535127663
SMAPE: 37.42130357114209


# LSTM Input: (192, 128, 128, 0.8)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 454 | -115 | -504 | -430 | -2434 | 82 | -133 |
| Prediction Trend | Up | Down | Down | Down | Down | Up | Down |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.8
Training Time: 7.95 seconds
Mean Squared Error (MSE): 981673.2730576897
Mean Absolute Error (MAE): 610.0633799105274
Huber Loss: 609.5633544921875
R-squared: -21389.094756846916
SMAPE: 98.1336270189294


# LSTM Input: (192, 128, 128, 0.675)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 161 | -25 | 66 | 14 | 125 | -1 | 10 |
| Prediction Trend | Up | Down | Up | Down | Up | Down | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.675
Training Time: 11.15 seconds
Mean Squared Error (MSE): 4879.497203457054
Mean Absolute Error (MAE): 49.199754269350144
Huber Loss: 48.70522689819336
R-squared: -121.51748450312923
SMAPE: 63.25759071525972


# LSTM Input: (192, 128, 128, 0.55)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 6 | -32 | 49 | 36 | 37 | 16 | 11 |
| Prediction Trend | Down | Down | Up | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.55
Training Time: 8.56 seconds
Mean Squared Error (MSE): 491.3583793075987
Mean Absolute Error (MAE): 15.32502142750487
Huber Loss: 14.836210250854492
R-squared: -8.292046533056377
SMAPE: 38.24106796025207


# LSTM Input: (192, 128, 128, 0.032)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 9 | 17 | 25 | 33 | 42 | 4 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.032
Training Time: 18.96 seconds
Mean Squared Error (MSE): 50.33924665473753
Mean Absolute Error (MAE): 5.345597407444806
Huber Loss: 4.870713233947754
R-squared: -0.001054607460481646
SMAPE: 19.16173539766654


# LSTM Input: (192, 128, 128, 0.165)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 8 | 15 | 25 | 33 | 43 | 4 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.165
Training Time: 9.52 seconds
Mean Squared Error (MSE): 50.924655881693035
Mean Absolute Error (MAE): 5.326480901160209
Huber Loss: 4.850191593170166
R-squared: -0.014083890435259943
SMAPE: 19.112162391454934


# LSTM Input: (192, 128, 128, 0.933)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | -60 | 58 | 84 | 61 | -8 | 11 | -1 |
| Prediction Trend | Down | Up | Up | Up | Down | Up | Down |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.933
Training Time: 11.16 seconds
Mean Squared Error (MSE): 1935.8238343176306
Mean Absolute Error (MAE): 37.4417472104637
Huber Loss: 36.942378997802734
R-squared: -38.99435187358524
SMAPE: 70.37453044868319


# LSTM Input: (192, 128, 128, 0.808)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | -1 | 68 | -15 | 36 | 47 | 12 | 8 |
| Prediction Trend | Down | Up | Down | Down | Up | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.808
Training Time: 12.63 seconds
Mean Squared Error (MSE): 688.2015257588877
Mean Absolute Error (MAE): 17.901489721877237
Huber Loss: 17.410354614257812
R-squared: -9.426181458841668
SMAPE: 50.081504336822135


# LSTM Input: (192, 128, 128, 0.683)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 495 | -148 | 187 | -382 | 229 | -131 | 192 |
| Prediction Trend | Up | Down | Up | Down | Up | Down | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.683
Training Time: 8.85 seconds
Mean Squared Error (MSE): 81537.07470059895
Mean Absolute Error (MAE): 251.05290689273758
Huber Loss: 250.5529022216797
R-squared: -2431.3901320273026
SMAPE: 90.58954489617813


# LSTM Input: (192, 128, 128, 0.558)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 40 | 19 | 93 | 38 | 69 | 7 | 9 |
| Prediction Trend | Up | Up | Up | Down | Up | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.558
Training Time: 8.88 seconds
Mean Squared Error (MSE): 941.7133057618986
Mean Absolute Error (MAE): 20.867271579041773
Huber Loss: 20.384883880615234
R-squared: -13.318916759323304
SMAPE: 33.80781853616509


# LSTM Input: (192, 128, 128, 0.003)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 10 | 19 | 21 | 31 | 42 | 5 | 9 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.003
Training Time: 17.86 seconds
Mean Squared Error (MSE): 56.43870387592756
Mean Absolute Error (MAE): 5.660955547070016
Huber Loss: 5.180911540985107
R-squared: -0.09527296035043811
SMAPE: 20.06557909114246


# LSTM Input: (192, 128, 128, 0.055)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 9 | 17 | 26 | 34 | 42 | 4 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.055
Training Time: 15.76 seconds
Mean Squared Error (MSE): 50.32793598635385
Mean Absolute Error (MAE): 5.3282551765441895
Huber Loss: 4.861480712890625
R-squared: -0.0013756239884119559
SMAPE: 19.10294227862776


# LSTM Input: (192, 128, 128, 0.011)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 7 | 14 | 25 | 33 | 43 | 4 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.011
Training Time: 21.79 seconds
Mean Squared Error (MSE): 51.29938702880903
Mean Absolute Error (MAE): 5.392795389201366
Huber Loss: 4.915078639984131
R-squared: -0.011178082060639685
SMAPE: 19.281795507083068


# LSTM Input: (192, 128, 128, 0.994)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | -114 | -199 | 215 | 171 | 276 | 17 | 0 |
| Prediction Trend | Down | Down | Up | Up | Up | Up | Down |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.994
Training Time: 9.75 seconds
Mean Squared Error (MSE): 24520.593425707873
Mean Absolute Error (MAE): 131.4556298450548
Huber Loss: 130.9556427001953
R-squared: -416.02878269475
SMAPE: 83.30244799355326


# LSTM Input: (192, 128, 128, 0.869)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 1411 | 435 | -621 | 736 | -1064 | -163 | 111 |
| Prediction Trend | Up | Up | Down | Up | Down | Down | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.869
Training Time: 11.39 seconds
Mean Squared Error (MSE): 617650.4341686822
Mean Absolute Error (MAE): 648.1320699574995
Huber Loss: 647.632080078125
R-squared: -14233.296112496198
SMAPE: 95.51730194761284


# LSTM Input: (192, 128, 128, 0.744)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 12 | 9 | 25 | 19 | 39 | 2 | 8 |
| Prediction Trend | Up | Down | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.744
Training Time: 14.13 seconds
Mean Squared Error (MSE): 98.03166863742523
Mean Absolute Error (MAE): 7.28107277471192
Huber Loss: 6.794953346252441
R-squared: -0.6996596669409468
SMAPE: 25.12753809879431


# LSTM Input: (192, 128, 128, 0.619)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 3 | -5 | 32 | 38 | 56 | 5 | 9 |
| Prediction Trend | Down | Down | Up | Down | Up | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.619
Training Time: 9.35 seconds
Mean Squared Error (MSE): 160.18089953771783
Mean Absolute Error (MAE): 9.203221086742115
Huber Loss: 8.721460342407227
R-squared: -1.8245170078481532
SMAPE: 33.53671457501183


# LSTM Input: (192, 128, 128, 0.494)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 18 | 29 | 12 | 16 | 38 | 5 | 10 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.494
Training Time: 9.29 seconds
Mean Squared Error (MSE): 160.83673460637266
Mean Absolute Error (MAE): 9.719344722170407
Huber Loss: 9.235493659973145
R-squared: -1.631109784803692
SMAPE: 29.046176264783846


# LSTM Input: (192, 128, 128, 0.369)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 5 | 20 | 24 | 32 | 42 | 3 | 9 |
| Prediction Trend | Down | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.369
Training Time: 10.91 seconds
Mean Squared Error (MSE): 55.080248778081554
Mean Absolute Error (MAE): 5.5761056136922775
Huber Loss: 5.101500511169434
R-squared: -0.12684132896948536
SMAPE: 20.22361785336644


# LSTM Input: (192, 128, 128, 0.244)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 6 | 16 | 26 | 36 | 42 | 4 | 8 |
| Prediction Trend | Down | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.244
Training Time: 9.88 seconds
Mean Squared Error (MSE): 52.03913065303001
Mean Absolute Error (MAE): 5.327729298143971
Huber Loss: 4.8553948402404785
R-squared: -0.04012559860074833
SMAPE: 19.3406701801408


# LSTM Input: (192, 128, 128, 0.119)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 10 | 18 | 26 | 33 | 42 | 4 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.119
Training Time: 10.18 seconds
Mean Squared Error (MSE): 51.143552941513505
Mean Absolute Error (MAE): 5.439285641624814
Huber Loss: 4.96705961227417
R-squared: -0.017132935172554115
SMAPE: 19.420407011386864


# LSTM Input: (192, 128, 128, 0.877)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 1156 | -1180 | -70 | 1001 | 767 | 179 | -286 |
| Prediction Trend | Up | Down | Down | Up | Up | Up | Down |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.877
Training Time: 8.66 seconds
Mean Squared Error (MSE): 605006.4631791149
Mean Absolute Error (MAE): 649.0061430509398
Huber Loss: 648.5061645507812
R-squared: -13045.843511553076
SMAPE: 96.69387772093489


# LSTM Input: (192, 128, 128, 0.752)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 3 | 16 | 38 | 49 | 36 | 5 | 6 |
| Prediction Trend | Down | Up | Up | Up | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.752
Training Time: 14.56 seconds
Mean Squared Error (MSE): 117.52790127870175
Mean Absolute Error (MAE): 7.851399107449718
Huber Loss: 7.369150638580322
R-squared: -0.9491639024018016
SMAPE: 24.68059792679981


# LSTM Input: (192, 128, 128, 0.627)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 26 | 12 | 25 | 41 | 48 | -1 | 11 |
| Prediction Trend | Up | Up | Down | Down | Up | Down | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.627
Training Time: 11.02 seconds
Mean Squared Error (MSE): 112.29752222925502
Mean Absolute Error (MAE): 7.977986487401585
Huber Loss: 7.492699146270752
R-squared: -1.9551642819557318
SMAPE: 33.663242289936434


# LSTM Input: (192, 128, 128, 0.502)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 9 | 16 | 34 | 36 | 40 | 4 | 8 |
| Prediction Trend | Up | Up | Up | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.502
Training Time: 12.04 seconds
Mean Squared Error (MSE): 63.398454083202914
Mean Absolute Error (MAE): 5.864733420261722
Huber Loss: 5.385153770446777
R-squared: -0.1546120414454571
SMAPE: 20.025725745840443


# LSTM Input: (192, 128, 128, 0.377)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 26 | 6 | 16 | 55 | 47 | 5 | 9 |
| Prediction Trend | Up | Down | Down | Up | Up | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.377
Training Time: 9.50 seconds
Mean Squared Error (MSE): 190.04897122023615
Mean Absolute Error (MAE): 10.232019568787143
Huber Loss: 9.752510070800781
R-squared: -2.3903572247213254
SMAPE: 28.674784987052398


# LSTM Input: (192, 128, 128, 0.252)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 10 | 16 | 24 | 33 | 41 | 4 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.252
Training Time: 9.18 seconds
Mean Squared Error (MSE): 51.18643185511839
Mean Absolute Error (MAE): 5.4596968946002775
Huber Loss: 4.979321479797363
R-squared: -0.02258612816699609
SMAPE: 19.614645056098233


# LSTM Input: (192, 128, 128, 0.127)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 8 | 17 | 24 | 34 | 42 | 4 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.127
Training Time: 9.84 seconds
Mean Squared Error (MSE): 50.597679332422146
Mean Absolute Error (MAE): 5.325754825760718
Huber Loss: 4.84863805770874
R-squared: -0.009461159378342339
SMAPE: 19.11139447303058


# LSTM Input: (192, 128, 128, 0.466)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | -15 | -8 | 39 | 67 | 28 | 5 | 8 |
| Prediction Trend | Down | Down | Up | Up | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.466
Training Time: 9.32 seconds
Mean Squared Error (MSE): 423.8008020002782
Mean Absolute Error (MAE): 16.29902773325135
Huber Loss: 15.812832832336426
R-squared: -5.975125798698145
SMAPE: 46.6474407839131


# LSTM Input: (192, 128, 128, 0.341)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 9 | 19 | 26 | 32 | 42 | 4 | 9 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.341
Training Time: 10.33 seconds
Mean Squared Error (MSE): 52.32886009275648
Mean Absolute Error (MAE): 5.497474254394064
Huber Loss: 5.024752140045166
R-squared: -0.05095395839588627
SMAPE: 19.46309746081763


# LSTM Input: (192, 128, 128, 0.938)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | -325 | 100 | -897 | 18 | 571 | -51 | -203 |
| Prediction Trend | Down | Up | Down | Down | Up | Down | Down |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.938
Training Time: 8.59 seconds
Mean Squared Error (MSE): 182178.60999406694
Mean Absolute Error (MAE): 305.6180335810395
Huber Loss: 305.12017822265625
R-squared: -3452.7102422825087
SMAPE: 82.6275776635653


# LSTM Input: (192, 128, 128, 0.813)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 17 | 17 | 24 | 41 | 42 | 4 | 10 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.813
Training Time: 16.62 seconds
Mean Squared Error (MSE): 67.98643685109407
Mean Absolute Error (MAE): 6.197388533832265
Huber Loss: 5.718868732452393
R-squared: -0.44505311329201497
SMAPE: 21.405741431666467


# LSTM Input: (192, 128, 128, 0.688)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 117 | -330 | 274 | -563 | -652 | 136 | -9 |
| Prediction Trend | Up | Down | Up | Down | Down | Up | Down |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.688
Training Time: 8.94 seconds
Mean Squared Error (MSE): 149738.96187716798
Mean Absolute Error (MAE): 305.9275251472889
Huber Loss: 305.4275207519531
R-squared: -2778.71950626244
SMAPE: 94.87099626606754


# LSTM Input: (192, 128, 128, 0.563)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | -151 | -165 | -148 | -139 | -103 | 80 | -48 |
| Prediction Trend | Down | Down | Down | Down | Down | Up | Down |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.563
Training Time: 9.93 seconds
Mean Squared Error (MSE): 21266.02529920437
Mean Absolute Error (MAE): 137.84743187054485
Huber Loss: 137.34742736816406
R-squared: -487.23810557945217
SMAPE: 98.61126795916236


# LSTM Input: (192, 128, 128, 0.206)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 7 | 16 | 26 | 34 | 42 | 5 | 9 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.206
Training Time: 9.26 seconds
Mean Squared Error (MSE): 50.66356988655082
Mean Absolute Error (MAE): 5.3023841243211915
Huber Loss: 4.832244873046875
R-squared: -0.020149594305568445
SMAPE: 19.055337912651428


# LSTM Input: (192, 128, 128, 0.025)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 8 | 17 | 25 | 34 | 42 | 4 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.025
Training Time: 30.49 seconds
Mean Squared Error (MSE): 50.31239077666998
Mean Absolute Error (MAE): 5.328409966968354
Huber Loss: 4.852949619293213
R-squared: -0.0010304704225587713
SMAPE: 19.116104537975044


# LSTM Input: (192, 128, 128, 0.946)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 398 | 613 | -139 | 1014 | -557 | 196 | 138 |
| Prediction Trend | Up | Up | Down | Up | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.946
Training Time: 9.36 seconds
Mean Squared Error (MSE): 513074.6015242602
Mean Absolute Error (MAE): 543.0794774464199
Huber Loss: 542.5794067382812
R-squared: -7841.294261470158
SMAPE: 96.92999438900472


# LSTM Input: (192, 128, 128, 0.821)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 893 | 1284 | 99 | 771 | 1034 | 277 | 282 |
| Prediction Trend | Up | Up | Up | Up | Up | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.821
Training Time: 8.83 seconds
Mean Squared Error (MSE): 581740.6317523731
Mean Absolute Error (MAE): 643.1076293218704
Huber Loss: 642.607666015625
R-squared: -12993.935281608394
SMAPE: 90.1690375711628


# LSTM Input: (192, 128, 128, 0.696)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | -6 | 185 | 68 | -183 | 38 | 8 | 9 |
| Prediction Trend | Down | Up | Up | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.696
Training Time: 14.57 seconds
Mean Squared Error (MSE): 11159.080510402327
Mean Absolute Error (MAE): 65.16649787766593
Huber Loss: 64.67657470703125
R-squared: -135.08001253492787
SMAPE: 56.53005228645518


# LSTM Input: (192, 128, 128, 0.571)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 16 | 16 | 35 | 41 | 51 | 9 | 6 |
| Prediction Trend | Up | Up | Up | Up | Up | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.571
Training Time: 12.60 seconds
Mean Squared Error (MSE): 94.19385019041928
Mean Absolute Error (MAE): 7.499967767267811
Huber Loss: 7.008889198303223
R-squared: -1.1476783872007348
SMAPE: 24.372893385622074


# LSTM Input: (192, 128, 128, 0.214)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 9 | 18 | 26 | 32 | 43 | 5 | 9 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.214
Training Time: 9.89 seconds
Mean Squared Error (MSE): 51.25534847300329
Mean Absolute Error (MAE): 5.4155552873806085
Huber Loss: 4.9436540603637695
R-squared: -0.022578257114201566
SMAPE: 19.310094262075385


# LSTM Input: (192, 128, 128, 0.089)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 7 | 16 | 25 | 32 | 42 | 4 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.089
Training Time: 11.29 seconds
Mean Squared Error (MSE): 50.97495396344474
Mean Absolute Error (MAE): 5.350358156930833
Huber Loss: 4.882020473480225
R-squared: -0.013197195114667723
SMAPE: 19.135332656894246


# LSTM Input: (192, 128, 128, 0.41)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | -5 | 13 | 19 | 17 | 41 | 1 | 8 |
| Prediction Trend | Down | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.41
Training Time: 10.97 seconds
Mean Squared Error (MSE): 123.8293821260561
Mean Absolute Error (MAE): 8.274789703338325
Huber Loss: 7.794519424438477
R-squared: -1.3700810077566377
SMAPE: 34.56217637788595


# LSTM Input: (192, 128, 128, 0.285)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 9 | 17 | 26 | 34 | 42 | 4 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.285
Training Time: 10.90 seconds
Mean Squared Error (MSE): 50.39948511475855
Mean Absolute Error (MAE): 5.356733603542354
Huber Loss: 4.886855125427246
R-squared: -0.0032568988985328673
SMAPE: 19.206246159037555


# LSTM Input: (192, 128, 128, 0.048)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 9 | 17 | 25 | 34 | 42 | 4 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.048
Training Time: 14.72 seconds
Mean Squared Error (MSE): 50.361790700239226
Mean Absolute Error (MAE): 5.3517910071781705
Huber Loss: 4.879270076751709
R-squared: -0.002410265283902551
SMAPE: 19.198709230372295


# LSTM Input: (192, 128, 128, 0.418)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 7 | -14 | 4 | 17 | 25 | 8 | 6 |
| Prediction Trend | Up | Down | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.418
Training Time: 9.22 seconds
Mean Squared Error (MSE): 331.99867374635704
Mean Absolute Error (MAE): 13.933617878933342
Huber Loss: 13.445684432983398
R-squared: -4.275315721212192
SMAPE: 44.308774621647665


# LSTM Input: (192, 128, 128, 0.293)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 9 | 17 | 24 | 31 | 41 | 4 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.293
Training Time: 9.78 seconds
Mean Squared Error (MSE): 52.24408158996579
Mean Absolute Error (MAE): 5.503205344790504
Huber Loss: 5.033104419708252
R-squared: -0.02477435317504287
SMAPE: 19.39379500235884


# LSTM Input: (192, 128, 128, 0.882)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 69 | 3 | -24 | 65 | 105 | 6 | -14 |
| Prediction Trend | Up | Down | Down | Up | Up | Up | Down |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.882
Training Time: 9.59 seconds
Mean Squared Error (MSE): 1707.6767557464952
Mean Absolute Error (MAE): 34.421322186787926
Huber Loss: 33.92578887939453
R-squared: -40.87499325991703
SMAPE: 64.16315974178802


# LSTM Input: (192, 128, 128, 0.757)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | -1072 | -362 | 1231 | -1664 | -1230 | 500 | -109 |
| Prediction Trend | Down | Down | Up | Down | Down | Up | Down |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.757
Training Time: 8.42 seconds
Mean Squared Error (MSE): 1072730.0840779676
Mean Absolute Error (MAE): 892.3802988610302
Huber Loss: 891.8803100585938
R-squared: -21506.579655004283
SMAPE: 99.18944528867388


# LSTM Input: (192, 128, 128, 0.632)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | -3 | 17 | 46 | 29 | 51 | 2 | 9 |
| Prediction Trend | Down | Up | Up | Down | Up | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.632
Training Time: 17.71 seconds
Mean Squared Error (MSE): 146.92308055089072
Mean Absolute Error (MAE): 8.92545741755946
Huber Loss: 8.440150260925293
R-squared: -1.555305155519681
SMAPE: 32.98481950411756


# LSTM Input: (192, 128, 128, 0.507)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 7 | 18 | 24 | 21 | 50 | 3 | 8 |
| Prediction Trend | Up | Up | Down | Down | Up | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.507
Training Time: 11.87 seconds
Mean Squared Error (MSE): 84.67059696734597
Mean Absolute Error (MAE): 6.605346930675765
Huber Loss: 6.137574672698975
R-squared: -0.5111937944269369
SMAPE: 21.286603239468597


# LSTM Input: (192, 128, 128, 0.382)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 14 | 15 | 25 | 30 | 47 | 4 | 8 |
| Prediction Trend | Up | Up | Down | Down | Up | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.382
Training Time: 9.53 seconds
Mean Squared Error (MSE): 61.14925781675873
Mean Absolute Error (MAE): 5.9865452545840725
Huber Loss: 5.506623268127441
R-squared: -0.239211378349555
SMAPE: 20.760422373773434


# LSTM Input: (192, 128, 128, 0.257)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 8 | 15 | 26 | 34 | 42 | 4 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.257
Training Time: 9.17 seconds
Mean Squared Error (MSE): 50.93226583932447
Mean Absolute Error (MAE): 5.320235164392563
Huber Loss: 4.843629360198975
R-squared: -0.012630801005067685
SMAPE: 19.139491560110738


# LSTM Input: (192, 128, 128, 0.132)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 8 | 18 | 24 | 35 | 42 | 4 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.132
Training Time: 9.86 seconds
Mean Squared Error (MSE): 50.93426091811254
Mean Absolute Error (MAE): 5.336386366766327
Huber Loss: 4.866127967834473
R-squared: -0.01077552575608636
SMAPE: 19.128592666631864


# LSTM Input: (192, 128, 128, 0.89)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | -867 | -985 | -65 | 659 | 3027 | -702 | 707 |
| Prediction Trend | Down | Down | Down | Up | Up | Down | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.89
Training Time: 8.15 seconds
Mean Squared Error (MSE): 1722552.8484893392
Mean Absolute Error (MAE): 997.2173287138647
Huber Loss: 996.7173461914062
R-squared: -51324.82764876477
SMAPE: 97.88849795556824


# LSTM Input: (192, 128, 128, 0.765)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 55 | -256 | 38 | -31 | -109 | 8 | 68 |
| Prediction Trend | Up | Down | Up | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.765
Training Time: 13.68 seconds
Mean Squared Error (MSE): 16359.055169360376
Mean Absolute Error (MAE): 90.77165998244774
Huber Loss: 90.27315521240234
R-squared: -314.19583069352115
SMAPE: 75.59071795346138


# LSTM Input: (192, 128, 128, 0.64)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 4 | 29 | 12 | 42 | 34 | 7 | 6 |
| Prediction Trend | Down | Up | Down | Up | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.64
Training Time: 12.05 seconds
Mean Squared Error (MSE): 121.34538991429119
Mean Absolute Error (MAE): 8.312712600036544
Huber Loss: 7.828534126281738
R-squared: -1.2074328430195418
SMAPE: 27.264045530784625


# LSTM Input: (192, 128, 128, 0.515)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 9 | 15 | 28 | 31 | 43 | 3 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.515
Training Time: 10.95 seconds
Mean Squared Error (MSE): 52.95850095741634
Mean Absolute Error (MAE): 5.473780683514213
Huber Loss: 4.998615264892578
R-squared: -0.056382689124463016
SMAPE: 19.676425629861292


# LSTM Input: (192, 128, 128, 0.39)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 3 | 14 | 27 | 36 | 40 | 6 | 9 |
| Prediction Trend | Down | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.39
Training Time: 9.05 seconds
Mean Squared Error (MSE): 57.61038798665034
Mean Absolute Error (MAE): 5.7223158632816915
Huber Loss: 5.241390705108643
R-squared: -0.2161863435523071
SMAPE: 21.763390349697037


# LSTM Input: (192, 128, 128, 0.265)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 8 | 14 | 25 | 32 | 44 | 4 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.265
Training Time: 9.37 seconds
Mean Squared Error (MSE): 52.45578976165848
Mean Absolute Error (MAE): 5.416908622598973
Huber Loss: 4.939450740814209
R-squared: -0.03930598551542941
SMAPE: 19.464173146132293


# LSTM Input: (192, 128, 128, 0.14)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 8 | 17 | 25 | 33 | 41 | 4 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.14
Training Time: 11.06 seconds
Mean Squared Error (MSE): 50.50229201288772
Mean Absolute Error (MAE): 5.362438113511014
Huber Loss: 4.886119842529297
R-squared: -0.004844298297088085
SMAPE: 19.134111790855222


# LSTM Input: (192, 128, 128, 0.898)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 149 | -34 | 108 | 192 | 189 | -21 | 44 |
| Prediction Trend | Up | Down | Up | Up | Up | Down | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.898
Training Time: 12.08 seconds
Mean Squared Error (MSE): 11106.513533059251
Mean Absolute Error (MAE): 91.3259534673626
Huber Loss: 90.8259506225586
R-squared: -235.72894549230733
SMAPE: 79.38766387747155


# LSTM Input: (192, 128, 128, 0.773)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | -9 | 18 | 25 | 35 | 69 | -1 | 9 |
| Prediction Trend | Down | Up | Down | Down | Up | Down | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.773
Training Time: 11.04 seconds
Mean Squared Error (MSE): 207.30703123431118
Mean Absolute Error (MAE): 10.804380660965325
Huber Loss: 10.316390991210938
R-squared: -4.184832103168768
SMAPE: 41.782693923132065


# LSTM Input: (192, 128, 128, 0.648)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | -107 | -46 | 10 | 57 | 29 | 9 | 0 |
| Prediction Trend | Down | Down | Down | Up | Down | Up | Down |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.648
Training Time: 9.22 seconds
Mean Squared Error (MSE): 2650.178153764577
Mean Absolute Error (MAE): 34.65161809223849
Huber Loss: 34.1528205871582
R-squared: -64.37886282809096
SMAPE: 60.53397784476458


# LSTM Input: (192, 128, 128, 0.523)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 2 | 24 | 28 | 29 | 37 | 5 | 8 |
| Prediction Trend | Down | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.523
Training Time: 10.46 seconds
Mean Squared Error (MSE): 72.50063900944058
Mean Absolute Error (MAE): 6.628828014240784
Huber Loss: 6.1496734619140625
R-squared: -0.4338540868565883
SMAPE: 24.15406073436595


# LSTM Input: (192, 128, 128, 0.398)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 10 | 18 | 27 | 34 | 44 | 4 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.398
Training Time: 10.03 seconds
Mean Squared Error (MSE): 51.905435257154316
Mean Absolute Error (MAE): 5.398064715521676
Huber Loss: 4.927333354949951
R-squared: -0.031615591600383075
SMAPE: 19.28068052971495


# LSTM Input: (192, 128, 128, 0.273)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 9 | 15 | 26 | 34 | 43 | 4 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.273
Training Time: 9.57 seconds
Mean Squared Error (MSE): 51.03603028575845
Mean Absolute Error (MAE): 5.350414486158462
Huber Loss: 4.879642486572266
R-squared: -0.014855664687651935
SMAPE: 19.25727691106194


# LSTM Input: (192, 128, 128, 0.951)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 966 | -429 | 115 | 889 | -1815 | 349 | -290 |
| Prediction Trend | Up | Down | Up | Up | Down | Up | Down |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.951
Training Time: 8.30 seconds
Mean Squared Error (MSE): 787626.371519461
Mean Absolute Error (MAE): 692.797343273552
Huber Loss: 692.29736328125
R-squared: -19813.267544255417
SMAPE: 93.33789112416115


# LSTM Input: (192, 128, 128, 0.826)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 1363 | -2565 | -916 | 32 | 423 | -278 | -43 |
| Prediction Trend | Up | Down | Down | Down | Up | Down | Down |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.826
Training Time: 8.33 seconds
Mean Squared Error (MSE): 1373141.284314443
Mean Absolute Error (MAE): 800.1975504200474
Huber Loss: 799.70068359375
R-squared: -24183.703612222034
SMAPE: 84.83389345510858


# LSTM Input: (192, 128, 128, 0.701)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | -51 | -12 | 158 | 91 | 14 | 22 | 16 |
| Prediction Trend | Down | Down | Up | Up | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.701
Training Time: 10.25 seconds
Mean Squared Error (MSE): 3833.3499228213577
Mean Absolute Error (MAE): 47.392398537421705
Huber Loss: 46.892398834228516
R-squared: -57.5021018017008
SMAPE: 67.75953405427698


# LSTM Input: (192, 128, 128, 0.576)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | -8 | 46 | 49 | 9 | 67 | 1 | 15 |
| Prediction Trend | Down | Up | Up | Down | Up | Down | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.576
Training Time: 11.77 seconds
Mean Squared Error (MSE): 476.3135504013782
Mean Absolute Error (MAE): 18.46397800206327
Huber Loss: 17.979761123657227
R-squared: -7.579520757262605
SMAPE: 48.99601522460919


# LSTM Input: (192, 128, 128, 0.219)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 8 | 17 | 25 | 34 | 43 | 4 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.219
Training Time: 9.67 seconds
Mean Squared Error (MSE): 50.722945061088964
Mean Absolute Error (MAE): 5.308817693165371
Huber Loss: 4.833781719207764
R-squared: -0.011406411280857525
SMAPE: 19.112495713110324


# LSTM Input: (192, 128, 128, 0.094)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 8 | 15 | 25 | 34 | 43 | 4 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.094
Training Time: 10.62 seconds
Mean Squared Error (MSE): 50.923926446699674
Mean Absolute Error (MAE): 5.30807671376637
Huber Loss: 4.832513809204102
R-squared: -0.012938069501954625
SMAPE: 19.099688755796006


# LSTM Input: (192, 128, 128, 0.959)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | -1243 | 15 | -944 | 2000 | -528 | -61 | 161 |
| Prediction Trend | Down | Up | Down | Up | Down | Down | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.959
Training Time: 8.53 seconds
Mean Squared Error (MSE): 960476.9973264735
Mean Absolute Error (MAE): 711.6502962436806
Huber Loss: 711.152099609375
R-squared: -15236.104424672956
SMAPE: 87.07736113631623


# LSTM Input: (192, 128, 128, 0.834)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 29 | 15 | 80 | 132 | 41 | 8 | 6 |
| Prediction Trend | Up | Up | Up | Up | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.834
Training Time: 10.92 seconds
Mean Squared Error (MSE): 1898.3326927238702
Mean Absolute Error (MAE): 27.486576099785008
Huber Loss: 26.994600296020508
R-squared: -21.455391083125324
SMAPE: 37.447393600315785


# LSTM Input: (192, 128, 128, 0.709)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | -21 | -11 | 389 | 700 | -66 | -137 | 2 |
| Prediction Trend | Down | Down | Up | Up | Down | Down | Down |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.709
Training Time: 14.65 seconds
Mean Squared Error (MSE): 86976.33313797353
Mean Absolute Error (MAE): 191.7563425578228
Huber Loss: 191.25791931152344
R-squared: -1299.6278095898117
SMAPE: 91.19363978746226


# LSTM Input: (192, 128, 128, 0.584)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 8 | 21 | 37 | 43 | 45 | 3 | 8 |
| Prediction Trend | Up | Up | Up | Up | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.584
Training Time: 11.00 seconds
Mean Squared Error (MSE): 87.79137527254352
Mean Absolute Error (MAE): 6.522610314849283
Huber Loss: 6.046341896057129
R-squared: -0.44453406586831734
SMAPE: 20.651622631226292


# LSTM Input: (192, 128, 128, 0.227)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 8 | 15 | 25 | 35 | 42 | 4 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.227
Training Time: 9.37 seconds
Mean Squared Error (MSE): 50.659782083396315
Mean Absolute Error (MAE): 5.333662707383941
Huber Loss: 4.853261947631836
R-squared: -0.011950255605476214
SMAPE: 19.285999497746122


# LSTM Input: (192, 128, 128, 0.041)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 8 | 16 | 25 | 35 | 42 | 4 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.041
Training Time: 19.27 seconds
Mean Squared Error (MSE): 50.31411780926915
Mean Absolute Error (MAE): 5.320228761556197
Huber Loss: 4.842021942138672
R-squared: -0.0010726265649026537
SMAPE: 19.119692419589416


# LSTM Input: (192, 128, 128, 0.423)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 14 | 32 | 36 | 5 | 49 | 10 | 10 |
| Prediction Trend | Up | Up | Up | Down | Up | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.423
Training Time: 9.17 seconds
Mean Squared Error (MSE): 237.05935746708118
Mean Absolute Error (MAE): 11.417187076036623
Huber Loss: 10.935059547424316
R-squared: -2.941047644865924
SMAPE: 34.2141714257224


# LSTM Input: (192, 128, 128, 0.967)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | -663 | 330 | -625 | 426 | -228 | 118 | -251 |
| Prediction Trend | Down | Up | Down | Up | Down | Up | Down |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.967
Training Time: 8.13 seconds
Mean Squared Error (MSE): 182588.23107846227
Mean Absolute Error (MAE): 381.3527376992362
Huber Loss: 380.85272216796875
R-squared: -4517.328373376399
SMAPE: 95.59684937466784


# LSTM Input: (192, 128, 128, 0.842)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | -698 | -223 | 596 | 854 | -693 | -279 | 138 |
| Prediction Trend | Down | Down | Up | Up | Down | Down | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.842
Training Time: 9.57 seconds
Mean Squared Error (MSE): 316387.9672739543
Mean Absolute Error (MAE): 500.4697776846334
Huber Loss: 499.96978759765625
R-squared: -7175.399213915929
SMAPE: 96.18199348177595


# LSTM Input: (192, 128, 128, 0.717)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 608 | -1337 | 1128 | 695 | -695 | -73 | 27 |
| Prediction Trend | Up | Down | Up | Up | Down | Down | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.717
Training Time: 8.41 seconds
Mean Squared Error (MSE): 631415.5618197309
Mean Absolute Error (MAE): 651.909438421937
Huber Loss: 651.409423828125
R-squared: -9600.489454459752
SMAPE: 91.13438887967095


# LSTM Input: (192, 128, 128, 0.592)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | -19 | 19 | 32 | 35 | 54 | 1 | -1 |
| Prediction Trend | Down | Up | Up | Down | Up | Down | Down |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.592
Training Time: 11.91 seconds
Mean Squared Error (MSE): 199.43028910060568
Mean Absolute Error (MAE): 10.9343431176377
Huber Loss: 10.44546127319336
R-squared: -5.16675925228249
SMAPE: 47.59433982245075


# LSTM Input: (192, 128, 128, 0.298)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | -7 | 3 | 20 | 43 | 60 | 7 | 9 |
| Prediction Trend | Down | Down | Down | Up | Up | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.298
Training Time: 8.61 seconds
Mean Squared Error (MSE): 171.40833313099643
Mean Absolute Error (MAE): 10.251487447291003
Huber Loss: 9.767142295837402
R-squared: -2.68890577252369
SMAPE: 37.89509295789407


# LSTM Input: (192, 128, 128, 0.173)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 9 | 18 | 26 | 33 | 42 | 4 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.173
Training Time: 9.80 seconds
Mean Squared Error (MSE): 50.64583672706914
Mean Absolute Error (MAE): 5.36541432182805
Huber Loss: 4.894382953643799
R-squared: -0.006067672537501766
SMAPE: 19.178499508489637


# LSTM Input: (192, 128, 128, 0.431)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 8 | 17 | 22 | 19 | 35 | 5 | 9 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.431
Training Time: 12.39 seconds
Mean Squared Error (MSE): 92.78511725301003
Mean Absolute Error (MAE): 7.033463476466484
Huber Loss: 6.554027557373047
R-squared: -0.5926017906158295
SMAPE: 22.27495837302436


# LSTM Input: (192, 128, 128, 0.306)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 6 | 16 | 28 | 34 | 45 | 5 | 8 |
| Prediction Trend | Down | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.306
Training Time: 9.35 seconds
Mean Squared Error (MSE): 53.61646380996792
Mean Absolute Error (MAE): 5.394194271288762
Huber Loss: 4.918120384216309
R-squared: -0.06647338060237311
SMAPE: 19.431061750365004


# LSTM Input: (192, 128, 128, 0.181)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 7 | 16 | 25 | 35 | 42 | 5 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.181
Training Time: 9.27 seconds
Mean Squared Error (MSE): 50.83350123259009
Mean Absolute Error (MAE): 5.3209465709673305
Huber Loss: 4.84134578704834
R-squared: -0.01859126323048594
SMAPE: 19.251183657147354


# LSTM Input: (192, 128, 128, 0.439)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 27 | -3 | 47 | 51 | 51 | -1 | 13 |
| Prediction Trend | Up | Down | Up | Up | Up | Down | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.439
Training Time: 10.42 seconds
Mean Squared Error (MSE): 275.7520527288499
Mean Absolute Error (MAE): 13.49812637522918
Huber Loss: 13.001636505126953
R-squared: -4.435219258326355
SMAPE: 49.08441766928636


# LSTM Input: (192, 128, 128, 0.314)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 9 | 21 | 23 | 33 | 44 | 4 | 10 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.314
Training Time: 9.57 seconds
Mean Squared Error (MSE): 55.58362916311745
Mean Absolute Error (MAE): 5.604096800697094
Huber Loss: 5.130756378173828
R-squared: -0.11047250259264667
SMAPE: 19.73568261891499


# LSTM Input: (192, 128, 128, 0.189)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 8 | 19 | 27 | 35 | 42 | 4 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.189
Training Time: 9.24 seconds
Mean Squared Error (MSE): 51.527374619627416
Mean Absolute Error (MAE): 5.371857604201958
Huber Loss: 4.901020050048828
R-squared: -0.01734379724600767
SMAPE: 19.16713033959789


# LSTM Input: (192, 128, 128, 0.064)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 8 | 17 | 25 | 34 | 42 | 4 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.064
Training Time: 14.72 seconds
Mean Squared Error (MSE): 50.35481251512129
Mean Absolute Error (MAE): 5.317746715480778
Huber Loss: 4.841115474700928
R-squared: -0.001830226527143581
SMAPE: 19.081709227086726


# LSTM Input: (192, 128, 128, 0.015)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 8 | 16 | 25 | 34 | 42 | 4 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.015
Training Time: 18.84 seconds
Mean Squared Error (MSE): 50.41908275982407
Mean Absolute Error (MAE): 5.381724811330135
Huber Loss: 4.903717994689941
R-squared: -0.0029959554070287625
SMAPE: 19.282138273861104


# LSTM Input: (192, 128, 128, 0.007)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 9 | 16 | 26 | 35 | 42 | 4 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.007
Training Time: 20.57 seconds
Mean Squared Error (MSE): 50.93689456135666
Mean Absolute Error (MAE): 5.369414476310314
Huber Loss: 4.903064727783203
R-squared: -0.013595958589049686
SMAPE: 19.23938398012535


# LSTM Input: (192, 128, 128, 0.903)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | -1118 | -1021 | -1307 | -2128 | -1030 | -351 | -652 |
| Prediction Trend | Down | Down | Down | Down | Down | Down | Down |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.903
Training Time: 8.05 seconds
Mean Squared Error (MSE): 1501281.310306219
Mean Absolute Error (MAE): 1106.6609793422983
Huber Loss: 1106.160888671875
R-squared: -30748.54356831649
SMAPE: 100.0


# LSTM Input: (192, 128, 128, 0.778)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 177 | -233 | -67 | 75 | 35 | 29 | -34 |
| Prediction Trend | Up | Down | Down | Up | Down | Up | Down |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.778
Training Time: 11.73 seconds
Mean Squared Error (MSE): 14785.613360891624
Mean Absolute Error (MAE): 89.61369457699004
Huber Loss: 89.11524963378906
R-squared: -297.7598428876484
SMAPE: 73.9117627499328


# LSTM Input: (192, 128, 128, 0.653)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 14 | 18 | 72 | 49 | 51 | 12 | 6 |
| Prediction Trend | Up | Up | Up | Up | Up | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.653
Training Time: 11.68 seconds
Mean Squared Error (MSE): 427.8518308770581
Mean Absolute Error (MAE): 13.861357183683486
Huber Loss: 13.370246887207031
R-squared: -5.537114571322808
SMAPE: 30.741371562660984


# LSTM Input: (192, 128, 128, 0.528)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 6 | 14 | 17 | 39 | 44 | 4 | 9 |
| Prediction Trend | Down | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.528
Training Time: 10.14 seconds
Mean Squared Error (MSE): 65.00634781779094
Mean Absolute Error (MAE): 5.728821158409119
Huber Loss: 5.258092403411865
R-squared: -0.19942989378944317
SMAPE: 20.26726253925553


# LSTM Input: (192, 128, 128, 0.403)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 2 | 20 | 28 | 33 | 41 | 4 | 10 |
| Prediction Trend | Down | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.403
Training Time: 9.43 seconds
Mean Squared Error (MSE): 60.2360338529568
Mean Absolute Error (MAE): 5.897734814152424
Huber Loss: 5.423825740814209
R-squared: -0.2926278217394354
SMAPE: 23.268876397213724


# LSTM Input: (192, 128, 128, 0.278)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 4 | 17 | 27 | 34 | 44 | 4 | 8 |
| Prediction Trend | Down | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.278
Training Time: 9.26 seconds
Mean Squared Error (MSE): 53.73362266079959
Mean Absolute Error (MAE): 5.428100915993151
Huber Loss: 4.957167148590088
R-squared: -0.08685009295167588
SMAPE: 20.044407209588876


# LSTM Input: (192, 128, 128, 0.143)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 9 | 17 | 27 | 33 | 42 | 4 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.143
Training Time: 9.66 seconds
Mean Squared Error (MSE): 50.95664768179519
Mean Absolute Error (MAE): 5.368992903605609
Huber Loss: 4.89069128036499
R-squared: -0.009269600195808993
SMAPE: 19.196593722919076


# LSTM Input: (192, 128, 128, 0.911)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 1309 | -4258 | 3864 | 341 | -3050 | 2174 | 943 |
| Prediction Trend | Up | Down | Up | Up | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.911
Training Time: 8.26 seconds
Mean Squared Error (MSE): 7134274.5698001515
Mean Absolute Error (MAE): 2274.0161900942016
Huber Loss: 2273.516357421875
R-squared: -197619.84558505527
SMAPE: 96.76024422822258


# LSTM Input: (192, 128, 128, 0.786)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 649 | -949 | -875 | 1193 | 606 | -95 | -129 |
| Prediction Trend | Up | Down | Down | Up | Up | Down | Down |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.786
Training Time: 10.60 seconds
Mean Squared Error (MSE): 551836.7962148336
Mean Absolute Error (MAE): 639.5576883303064
Huber Loss: 639.0576782226562
R-squared: -8474.141998784888
SMAPE: 96.99335236456008


# LSTM Input: (192, 128, 128, 0.661)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 2 | 5 | 25 | 50 | 56 | 5 | 4 |
| Prediction Trend | Down | Down | Down | Up | Up | Up | Down |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.661
Training Time: 13.37 seconds
Mean Squared Error (MSE): 143.45397336023981
Mean Absolute Error (MAE): 9.085359728052504
Huber Loss: 8.600492477416992
R-squared: -1.7891220587091363
SMAPE: 31.633337359087


# LSTM Input: (192, 128, 128, 0.536)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 14 | 30 | 8 | 23 | 40 | 2 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.536
Training Time: 9.92 seconds
Mean Squared Error (MSE): 140.64386221581915
Mean Absolute Error (MAE): 8.8662786199933
Huber Loss: 8.381306648254395
R-squared: -1.1982084424073884
SMAPE: 28.28669210676729


# LSTM Input: (192, 128, 128, 0.232)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 6 | 17 | 23 | 37 | 42 | 5 | 8 |
| Prediction Trend | Down | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.232
Training Time: 9.22 seconds
Mean Squared Error (MSE): 53.00909936648393
Mean Absolute Error (MAE): 5.369659797674946
Huber Loss: 4.895659446716309
R-squared: -0.047263464653685326
SMAPE: 19.373300463815436


# LSTM Input: (192, 128, 128, 0.102)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 10 | 17 | 26 | 34 | 42 | 4 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.102
Training Time: 10.16 seconds
Mean Squared Error (MSE): 50.59700589309192
Mean Absolute Error (MAE): 5.361676642683897
Huber Loss: 4.890429973602295
R-squared: -0.006033496812258843
SMAPE: 19.236222038459395


# LSTM Input: (192, 128, 128, 0.972)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | -1868 | -1766 | -1098 | -3408 | -56 | 58 | 160 |
| Prediction Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.972
Training Time: 8.48 seconds
Mean Squared Error (MSE): 2834411.1579314135
Mean Absolute Error (MAE): 1218.2553001780088
Huber Loss: 1217.7552490234375
R-squared: -41362.97791940635
SMAPE: 96.74205887599868


# LSTM Input: (192, 128, 128, 0.847)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 102 | 146 | 130 | 42 | -28 | -1 | 40 |
| Prediction Trend | Up | Up | Up | Up | Down | Down | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.847
Training Time: 13.98 seconds
Mean Squared Error (MSE): 6091.6417912486895
Mean Absolute Error (MAE): 63.35956026988776
Huber Loss: 62.85981750488281
R-squared: -118.75918084309481
SMAPE: 73.42913522443385


# LSTM Input: (192, 128, 128, 0.722)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 8 | 28 | 24 | 31 | 56 | 3 | 8 |
| Prediction Trend | Up | Up | Down | Down | Up | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.722
Training Time: 17.79 seconds
Mean Squared Error (MSE): 102.18099924032681
Mean Absolute Error (MAE): 7.595976647876557
Huber Loss: 7.117551326751709
R-squared: -0.9959299616223655
SMAPE: 22.20029364635228


# LSTM Input: (192, 128, 128, 0.597)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 18 | 6 | 8 | 34 | 20 | 4 | 18 |
| Prediction Trend | Up | Down | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.597
Training Time: 11.36 seconds
Mean Squared Error (MSE): 200.55788609888074
Mean Absolute Error (MAE): 11.437799686882771
Huber Loss: 10.947486877441406
R-squared: -4.148125411436756
SMAPE: 35.543392782532926


# LSTM Input: (192, 128, 128, 0.472)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 10 | 27 | 26 | 72 | 55 | 10 | 4 |
| Prediction Trend | Up | Up | Down | Up | Up | Up | Down |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.472
Training Time: 14.84 seconds
Mean Squared Error (MSE): 310.4265798267887
Mean Absolute Error (MAE): 12.381378211537186
Huber Loss: 11.893938064575195
R-squared: -3.9962635490162306
SMAPE: 30.11360621786978


# LSTM Input: (192, 128, 128, 0.347)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 13 | 15 | 21 | 32 | 46 | 5 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.347
Training Time: 10.03 seconds
Mean Squared Error (MSE): 59.900257614066184
Mean Absolute Error (MAE): 5.892398938840748
Huber Loss: 5.418853282928467
R-squared: -0.1937609019729675
SMAPE: 20.690193626065025


# LSTM Input: (192, 128, 128, 0.11)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 8 | 17 | 25 | 33 | 42 | 4 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.11
Training Time: 10.91 seconds
Mean Squared Error (MSE): 50.39464532054466
Mean Absolute Error (MAE): 5.345151322228568
Huber Loss: 4.87175989151001
R-squared: -0.002509793319321948
SMAPE: 19.139503725141626


# LSTM Input: (192, 128, 128, 0.98)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 1402 | -462 | -576 | 574 | 1532 | 7 | -393 |
| Prediction Trend | Up | Down | Down | Up | Up | Up | Down |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.98
Training Time: 9.05 seconds
Mean Squared Error (MSE): 767774.3237509283
Mean Absolute Error (MAE): 739.7730826455719
Huber Loss: 739.2734985351562
R-squared: -18897.022937682825
SMAPE: 96.22231008145081


# LSTM Input: (192, 128, 128, 0.855)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 65 | 623 | -1261 | 527 | -448 | 72 | -39 |
| Prediction Trend | Up | Up | Down | Up | Down | Up | Down |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.855
Training Time: 8.24 seconds
Mean Squared Error (MSE): 364509.29777961515
Mean Absolute Error (MAE): 437.62740737889084
Huber Loss: 437.1274108886719
R-squared: -4635.905935547966
SMAPE: 92.65735188891557


# LSTM Input: (192, 128, 128, 0.73)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 7 | 37 | 7 | 68 | 38 | 7 | 24 |
| Prediction Trend | Up | Up | Down | Up | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.73
Training Time: 10.79 seconds
Mean Squared Error (MSE): 361.9377725995335
Mean Absolute Error (MAE): 14.727683357641
Huber Loss: 14.240809440612793
R-squared: -7.766359304668727
SMAPE: 36.14457295494083


# LSTM Input: (192, 128, 128, 0.605)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | -93 | 123 | -64 | 89 | 11 | -23 | 20 |
| Prediction Trend | Down | Up | Down | Up | Down | Down | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.605
Training Time: 10.70 seconds
Mean Squared Error (MSE): 4962.066869163172
Mean Absolute Error (MAE): 60.19902469511745
Huber Loss: 59.69902801513672
R-squared: -99.79769319595357
SMAPE: 74.72976705447881


# LSTM Input: (192, 128, 128, 0.48)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | -29 | 1 | 14 | 47 | 37 | 12 | 10 |
| Prediction Trend | Down | Down | Down | Up | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.48
Training Time: 10.48 seconds
Mean Squared Error (MSE): 344.09063459392434
Mean Absolute Error (MAE): 13.876465692812081
Huber Loss: 13.385170936584473
R-squared: -7.918596000050905
SMAPE: 44.598984592455906


# LSTM Input: (192, 128, 128, 0.355)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 7 | 18 | 25 | 27 | 45 | 3 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.355
Training Time: 9.47 seconds
Mean Squared Error (MSE): 58.55933169087594
Mean Absolute Error (MAE): 5.691182677843131
Huber Loss: 5.214848041534424
R-squared: -0.12757564783765876
SMAPE: 19.90989362375854


# LSTM Input: (192, 128, 128, 0.444)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 12 | 17 | 31 | 32 | 47 | 2 | 9 |
| Prediction Trend | Up | Up | Down | Down | Up | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.444
Training Time: 12.02 seconds
Mean Squared Error (MSE): 60.389379861258966
Mean Absolute Error (MAE): 5.858878353826043
Huber Loss: 5.379225254058838
R-squared: -0.25603511248589905
SMAPE: 20.9720282922861


# LSTM Input: (192, 128, 128, 0.319)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 10 | 16 | 24 | 28 | 43 | 4 | 7 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.319
Training Time: 9.73 seconds
Mean Squared Error (MSE): 55.36946382095781
Mean Absolute Error (MAE): 5.667378222861258
Huber Loss: 5.184762001037598
R-squared: -0.0703749146996132
SMAPE: 19.966572726502463


# LSTM Input: (192, 128, 128, 0.194)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 7 | 16 | 25 | 35 | 42 | 5 | 9 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.194
Training Time: 10.99 seconds
Mean Squared Error (MSE): 50.84504833629431
Mean Absolute Error (MAE): 5.304108974884969
Huber Loss: 4.828700065612793
R-squared: -0.019292512651615943
SMAPE: 19.09777379639533


# LSTM Input: (192, 128, 128, 0.069)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 9 | 17 | 24 | 32 | 42 | 4 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.069
Training Time: 15.51 seconds
Mean Squared Error (MSE): 50.86576698563687
Mean Absolute Error (MAE): 5.387444757279895
Huber Loss: 4.913341045379639
R-squared: -0.006635613135794971
SMAPE: 19.229963899019225


# LSTM Input: (192, 128, 128, 0.008)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 8 | 18 | 25 | 32 | 42 | 4 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.008
Training Time: 33.56 seconds
Mean Squared Error (MSE): 52.011430241164284
Mean Absolute Error (MAE): 5.383107624897339
Huber Loss: 4.9088287353515625
R-squared: -0.018593487714371432
SMAPE: 19.174225322022885


# LSTM Input: (192, 128, 128, 0.452)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 13 | -10 | 20 | 46 | 36 | 8 | 9 |
| Prediction Trend | Up | Down | Down | Up | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.452
Training Time: 8.85 seconds
Mean Squared Error (MSE): 189.2884816397448
Mean Absolute Error (MAE): 9.970870674872886
Huber Loss: 9.484827041625977
R-squared: -2.2338110076617257
SMAPE: 34.198771049284964


# LSTM Input: (192, 128, 128, 0.327)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 10 | 20 | 27 | 34 | 44 | 4 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.327
Training Time: 10.56 seconds
Mean Squared Error (MSE): 54.20857661654581
Mean Absolute Error (MAE): 5.549704912568436
Huber Loss: 5.0731916427612305
R-squared: -0.0703245185851766
SMAPE: 19.754557927231392


# LSTM Input: (192, 128, 128, 0.202)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 9 | 18 | 27 | 35 | 43 | 4 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.202
Training Time: 9.62 seconds
Mean Squared Error (MSE): 51.13033837743472
Mean Absolute Error (MAE): 5.357916408655593
Huber Loss: 4.890814781188965
R-squared: -0.012131238252886074
SMAPE: 19.18173779740586


# LSTM Input: (192, 128, 128, 0.072)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 9 | 17 | 25 | 34 | 42 | 4 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.072
Training Time: 13.26 seconds
Mean Squared Error (MSE): 50.336161600537096
Mean Absolute Error (MAE): 5.336397218055466
Huber Loss: 4.8614020347595215
R-squared: -0.0022101021442856466
SMAPE: 19.11244826747828


# LSTM Input: (192, 128, 128, 0.148)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 7 | 16 | 25 | 35 | 41 | 4 | 7 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.148
Training Time: 10.09 seconds
Mean Squared Error (MSE): 51.1718371190831
Mean Absolute Error (MAE): 5.377667888492143
Huber Loss: 4.901223182678223
R-squared: -0.030328361061666316
SMAPE: 19.33983968037879


# LSTM Input: (192, 128, 128, 0.916)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 27 | 31 | -43 | 23 | 11 | 6 | 17 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.916
Training Time: 12.78 seconds
Mean Squared Error (MSE): 973.7345570707937
Mean Absolute Error (MAE): 22.66141745590028
Huber Loss: 22.16559410095215
R-squared: -13.932121648378217
SMAPE: 48.93314268326684


# LSTM Input: (192, 128, 128, 0.791)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 772 | 386 | -424 | -986 | -472 | -192 | 33 |
| Prediction Trend | Up | Up | Down | Down | Down | Down | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.791
Training Time: 13.72 seconds
Mean Squared Error (MSE): 323620.4399246353
Mean Absolute Error (MAE): 476.72342037668034
Huber Loss: 476.22344970703125
R-squared: -6082.525727448787
SMAPE: 92.94110186008942


# LSTM Input: (192, 128, 128, 0.666)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | -4 | 22 | 22 | -2 | 24 | 16 | 11 |
| Prediction Trend | Down | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.666
Training Time: 13.67 seconds
Mean Squared Error (MSE): 334.3407285740712
Mean Absolute Error (MAE): 14.218195243352126
Huber Loss: 13.727442741394043
R-squared: -6.643365826619926
SMAPE: 50.40801732133843


# LSTM Input: (192, 128, 128, 0.541)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | -17 | 24 | 37 | 14 | 40 | 2 | 4 |
| Prediction Trend | Down | Up | Up | Down | Down | Up | Down |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.541
Training Time: 10.46 seconds
Mean Squared Error (MSE): 218.1567480213781
Mean Absolute Error (MAE): 11.20687154665285
Huber Loss: 10.718482971191406
R-squared: -3.7445174268312043
SMAPE: 37.87170234168223


# LSTM Input: (192, 128, 128, 0.156)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 9 | 17 | 24 | 35 | 42 | 4 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.156
Training Time: 10.29 seconds
Mean Squared Error (MSE): 50.719202378213474
Mean Absolute Error (MAE): 5.333269388497281
Huber Loss: 4.8633832931518555
R-squared: -0.008521256515609008
SMAPE: 19.11850486713806


# LSTM Input: (192, 128, 128, 0.924)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 803 | -687 | 39 | -502 | 710 | 223 | -225 |
| Prediction Trend | Up | Down | Up | Down | Up | Up | Down |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.924
Training Time: 9.15 seconds
Mean Squared Error (MSE): 299006.8377354588
Mean Absolute Error (MAE): 470.0999589623237
Huber Loss: 469.5999755859375
R-squared: -7753.951456853126
SMAPE: 91.71648409105882


# LSTM Input: (192, 128, 128, 0.799)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 162 | -86 | 17 | -177 | 75 | 60 | -16 |
| Prediction Trend | Up | Down | Down | Down | Up | Up | Down |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.799
Training Time: 11.54 seconds
Mean Squared Error (MSE): 11988.822150714914
Mean Absolute Error (MAE): 84.44055554655942
Huber Loss: 83.94166564941406
R-squared: -255.7413657287147
SMAPE: 75.74491590044214


# LSTM Input: (192, 128, 128, 0.674)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 452 | -813 | 26 | 53 | 646 | 163 | -80 |
| Prediction Trend | Up | Down | Down | Up | Up | Up | Down |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.674
Training Time: 8.15 seconds
Mean Squared Error (MSE): 182635.17504609193
Mean Absolute Error (MAE): 306.1657441132734
Huber Loss: 305.669921875
R-squared: -3911.2489283461828
SMAPE: 73.71385737611355


# LSTM Input: (192, 128, 128, 0.549)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 6 | -6 | 28 | -22 | 47 | 18 | 14 |
| Prediction Trend | Down | Down | Down | Down | Up | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.549
Training Time: 9.38 seconds
Mean Squared Error (MSE): 614.5206012126908
Mean Absolute Error (MAE): 16.880664438617472
Huber Loss: 16.39260482788086
R-squared: -10.24752865354309
SMAPE: 49.89660605591181


# LSTM Input: (192, 128, 128, 0.031)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 9 | 17 | 26 | 34 | 42 | 4 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.031
Training Time: 23.25 seconds
Mean Squared Error (MSE): 50.30432995821659
Mean Absolute Error (MAE): 5.326224353037724
Huber Loss: 4.855583667755127
R-squared: -0.0006886715657748851
SMAPE: 19.0960874074875


# LSTM Input: (192, 128, 128, 0.164)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 8 | 15 | 24 | 31 | 41 | 4 | 9 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.164
Training Time: 10.27 seconds
Mean Squared Error (MSE): 52.22132481757352
Mean Absolute Error (MAE): 5.456637083267679
Huber Loss: 4.979255199432373
R-squared: -0.029352158506411374
SMAPE: 19.325311346064314


# LSTM Input: (192, 128, 128, 0.115)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 8 | 18 | 25 | 34 | 42 | 4 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.115
Training Time: 10.44 seconds
Mean Squared Error (MSE): 50.64509003627625
Mean Absolute Error (MAE): 5.36146684082187
Huber Loss: 4.888245582580566
R-squared: -0.007822039799709524
SMAPE: 19.207077715462454


# LSTM Input: (192, 128, 128, 0.985)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | -1879 | -510 | -2557 | -5489 | 863 | 1178 | 287 |
| Prediction Trend | Down | Down | Down | Down | Up | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.985
Training Time: 8.20 seconds
Mean Squared Error (MSE): 6162872.773488735
Mean Absolute Error (MAE): 1827.5185320069188
Huber Loss: 1827.0185546875
R-squared: -101024.73800992595
SMAPE: 97.78923050916507


# LSTM Input: (192, 128, 128, 0.86)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 6 | 9 | -12 | 68 | 30 | 7 | 5 |
| Prediction Trend | Down | Down | Down | Up | Down | Up | Down |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.86
Training Time: 12.61 seconds
Mean Squared Error (MSE): 451.6357229538611
Mean Absolute Error (MAE): 15.073442296916935
Huber Loss: 14.589674949645996
R-squared: -4.986018643362384
SMAPE: 39.829407188823936


# LSTM Input: (192, 128, 128, 0.735)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | -58 | 61 | -5 | -123 | 17 | -7 | 62 |
| Prediction Trend | Down | Up | Down | Down | Down | Down | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.735
Training Time: 9.41 seconds
Mean Squared Error (MSE): 5122.112076845873
Mean Absolute Error (MAE): 55.45807603427342
Huber Loss: 54.95807647705078
R-squared: -116.05861732362885
SMAPE: 82.45011390362401


# LSTM Input: (192, 128, 128, 0.61)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | -3 | 8 | 22 | 53 | 42 | 7 | 9 |
| Prediction Trend | Down | Down | Down | Up | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.61
Training Time: 12.21 seconds
Mean Squared Error (MSE): 132.4946579908314
Mean Absolute Error (MAE): 8.452185641340657
Huber Loss: 7.974550724029541
R-squared: -1.382153553633426
SMAPE: 33.24957536295209


# LSTM Input: (192, 128, 128, 0.485)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 12 | -5 | 32 | 10 | 25 | 10 | 9 |
| Prediction Trend | Up | Down | Up | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.485
Training Time: 9.53 seconds
Mean Squared Error (MSE): 255.21879296070736
Mean Absolute Error (MAE): 12.396593805073069
Huber Loss: 11.911415100097656
R-squared: -3.537801914196815
SMAPE: 41.74903487326599


# LSTM Input: (192, 128, 128, 0.36)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 6 | 17 | 24 | 33 | 42 | 6 | 9 |
| Prediction Trend | Down | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.36
Training Time: 10.29 seconds
Mean Squared Error (MSE): 52.48916604021382
Mean Absolute Error (MAE): 5.467907553627378
Huber Loss: 4.989400863647461
R-squared: -0.11219009591388122
SMAPE: 19.88108373735224


# LSTM Input: (192, 128, 128, 0.235)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 8 | 16 | 26 | 35 | 43 | 4 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.235
Training Time: 9.95 seconds
Mean Squared Error (MSE): 50.62852872712005
Mean Absolute Error (MAE): 5.284969439311903
Huber Loss: 4.813678741455078
R-squared: -0.008083221427489073
SMAPE: 19.000574120418523


# LSTM Input: (192, 128, 128, 0.054)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 8 | 17 | 26 | 34 | 42 | 4 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.054
Training Time: 14.00 seconds
Mean Squared Error (MSE): 50.37682149947595
Mean Absolute Error (MAE): 5.3106769923450186
Huber Loss: 4.839135646820068
R-squared: -0.0018431096068048777
SMAPE: 19.05769278590958


# LSTM Input: (192, 128, 128, 0.993)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | -63 | -2 | 114 | 132 | -23 | -12 | -7 |
| Prediction Trend | Down | Down | Up | Up | Down | Down | Down |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.993
Training Time: 15.05 seconds
Mean Squared Error (MSE): 4006.382701651096
Mean Absolute Error (MAE): 53.32959428125498
Huber Loss: 52.82959747314453
R-squared: -70.15673126870557
SMAPE: 89.1607678605606


# LSTM Input: (192, 128, 128, 0.868)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | -394 | 54 | 1013 | -229 | -546 | -257 | 116 |
| Prediction Trend | Down | Up | Up | Down | Down | Down | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.868
Training Time: 8.76 seconds
Mean Squared Error (MSE): 233522.63163273726
Mean Absolute Error (MAE): 378.27280435108
Huber Loss: 377.7727966308594
R-squared: -4801.085387968485
SMAPE: 91.03794604283776


# LSTM Input: (192, 128, 128, 0.743)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | -21 | 59 | -14 | -23 | 17 | -10 | 11 |
| Prediction Trend | Down | Up | Down | Down | Down | Down | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.743
Training Time: 9.99 seconds
Mean Squared Error (MSE): 1228.459609686797
Mean Absolute Error (MAE): 29.937340068168385
Huber Loss: 29.442337036132812
R-squared: -20.068404942055423
SMAPE: 74.00079924720102


# LSTM Input: (192, 128, 128, 0.618)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 46 | 174 | 239 | -319 | 148 | 78 | -26 |
| Prediction Trend | Up | Up | Up | Down | Up | Up | Down |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.618
Training Time: 8.76 seconds
Mean Squared Error (MSE): 30839.51380645433
Mean Absolute Error (MAE): 140.06465980957967
Huber Loss: 139.56466674804688
R-squared: -479.6264214696526
SMAPE: 83.1018581596871


# LSTM Input: (192, 128, 128, 0.493)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 6 | 20 | 15 | 28 | 48 | -1 | 17 |
| Prediction Trend | Down | Up | Down | Down | Up | Down | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.493
Training Time: 10.17 seconds
Mean Squared Error (MSE): 92.15021656924357
Mean Absolute Error (MAE): 7.748841317940731
Huber Loss: 7.261920928955078
R-squared: -2.2828731807366114
SMAPE: 34.355521743721205


# LSTM Input: (192, 128, 128, 0.368)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 11 | 17 | 26 | 30 | 43 | 4 | 9 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.368
Training Time: 11.23 seconds
Mean Squared Error (MSE): 53.65646402975187
Mean Absolute Error (MAE): 5.580211834842657
Huber Loss: 5.102244853973389
R-squared: -0.05281947628500331
SMAPE: 19.71007198866986


# LSTM Input: (192, 128, 128, 0.243)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 9 | 16 | 23 | 35 | 43 | 5 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.243
Training Time: 9.41 seconds
Mean Squared Error (MSE): 51.2811909695294
Mean Absolute Error (MAE): 5.3394537385629155
Huber Loss: 4.860953330993652
R-squared: -0.016451810920951302
SMAPE: 19.210347801213874


# LSTM Input: (192, 128, 128, 0.118)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 10 | 17 | 25 | 35 | 42 | 4 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.118
Training Time: 10.39 seconds
Mean Squared Error (MSE): 50.992394610039796
Mean Absolute Error (MAE): 5.403628026547076
Huber Loss: 4.9232587814331055
R-squared: -0.01698282891363369
SMAPE: 19.3970494691216


# LSTM Input: (192, 128, 128, 0.457)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 7 | 24 | 24 | 40 | 32 | 3 | 10 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.457
Training Time: 11.12 seconds
Mean Squared Error (MSE): 78.11088920083421
Mean Absolute Error (MAE): 6.651192339099183
Huber Loss: 6.175736427307129
R-squared: -0.6064490250401271
SMAPE: 21.569303300561323


# LSTM Input: (192, 128, 128, 0.332)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 2 | 17 | 38 | 41 | 44 | 4 | 9 |
| Prediction Trend | Down | Up | Up | Up | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.332
Training Time: 10.90 seconds
Mean Squared Error (MSE): 86.67507139395353
Mean Absolute Error (MAE): 6.511505431463929
Huber Loss: 6.040767192840576
R-squared: -0.5223660448288394
SMAPE: 23.705082184658416


# LSTM Input: (192, 128, 128, 0.077)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 8 | 17 | 26 | 35 | 42 | 4 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.077
Training Time: 12.27 seconds
Mean Squared Error (MSE): 50.48333565537949
Mean Absolute Error (MAE): 5.309603308333832
Huber Loss: 4.842518329620361
R-squared: -0.0030188119814147057
SMAPE: 19.05704336490486


# LSTM Input: (192, 128, 128, 0.465)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 6 | 20 | 24 | 38 | 39 | 4 | 8 |
| Prediction Trend | Down | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.465
Training Time: 11.63 seconds
Mean Squared Error (MSE): 57.05195007552264
Mean Absolute Error (MAE): 5.5969216036958755
Huber Loss: 5.121501445770264
R-squared: -0.10862359943031394
SMAPE: 19.690774793099397


# LSTM Input: (192, 128, 128, 0.34)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 15 | 19 | 25 | 37 | 43 | 5 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.34
Training Time: 8.84 seconds
Mean Squared Error (MSE): 58.234603178813636
Mean Absolute Error (MAE): 5.8200278119976
Huber Loss: 5.33712100982666
R-squared: -0.18280979510642661
SMAPE: 20.53510965238506


# LSTM Input: (192, 128, 128, 0.085)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 8 | 17 | 27 | 35 | 43 | 4 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.085
Training Time: 12.86 seconds
Mean Squared Error (MSE): 50.7990620051569
Mean Absolute Error (MAE): 5.316606454297799
Huber Loss: 4.839771747589111
R-squared: -0.009240720237521094
SMAPE: 19.101434423179942


# LSTM Input: (192, 128, 128, 0.929)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | -35 | -91 | -90 | 119 | 84 | 27 | -18 |
| Prediction Trend | Down | Down | Down | Up | Up | Up | Down |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.929
Training Time: 10.57 seconds
Mean Squared Error (MSE): 5339.644959288179
Mean Absolute Error (MAE): 63.26075933741875
Huber Loss: 62.76076126098633
R-squared: -90.14899661871614
SMAPE: 80.61654302463378


# LSTM Input: (192, 128, 128, 0.804)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | -18 | -265 | 149 | 516 | -26 | 99 | -27 |
| Prediction Trend | Down | Down | Up | Up | Down | Up | Down |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.804
Training Time: 9.83 seconds
Mean Squared Error (MSE): 48927.66506928072
Mean Absolute Error (MAE): 158.76194110208627
Huber Loss: 158.26193237304688
R-squared: -747.1848807046446
SMAPE: 93.0273763249943


# LSTM Input: (192, 128, 128, 0.679)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | -330 | 283 | 482 | 48 | 817 | -249 | -6 |
| Prediction Trend | Down | Up | Up | Up | Up | Down | Down |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.679
Training Time: 8.12 seconds
Mean Squared Error (MSE): 151270.55932824567
Mean Absolute Error (MAE): 302.5123425714013
Huber Loss: 302.0132141113281
R-squared: -3986.25338988269
SMAPE: 84.00957772951396


# LSTM Input: (192, 128, 128, 0.554)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 4 | 24 | 32 | 25 | 47 | 7 | 8 |
| Prediction Trend | Down | Up | Up | Down | Up | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.554
Training Time: 11.25 seconds
Mean Squared Error (MSE): 82.22692291215775
Mean Absolute Error (MAE): 6.772794965578584
Huber Loss: 6.291518211364746
R-squared: -0.5440170341739389
SMAPE: 23.148405255260403


# LSTM Input: (192, 128, 128, 0.205)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 9 | 19 | 27 | 35 | 41 | 4 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.205
Training Time: 9.74 seconds
Mean Squared Error (MSE): 51.80285519452462
Mean Absolute Error (MAE): 5.416387035733178
Huber Loss: 4.944360256195068
R-squared: -0.02175450906765183
SMAPE: 19.286561701922043


# LSTM Input: (192, 128, 128, 0.024)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 9 | 17 | 26 | 34 | 42 | 4 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.024
Training Time: 23.41 seconds
Mean Squared Error (MSE): 50.307580322785384
Mean Absolute Error (MAE): 5.323907751615356
Huber Loss: 4.850733280181885
R-squared: -0.0007344237281007146
SMAPE: 19.122287958942966


# LSTM Input: (192, 128, 128, 0.169)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 9 | 16 | 25 | 34 | 40 | 4 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.169
Training Time: 9.50 seconds
Mean Squared Error (MSE): 50.811728636486784
Mean Absolute Error (MAE): 5.4052493774972
Huber Loss: 4.928864002227783
R-squared: -0.016146118845759037
SMAPE: 19.319599102109517


# LSTM Input: (192, 128, 128, 0.937)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 91 | 125 | 58 | -38 | 83 | 14 | 4 |
| Prediction Trend | Up | Up | Up | Down | Up | Up | Down |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.937
Training Time: 12.44 seconds
Mean Squared Error (MSE): 3853.5254676846375
Mean Absolute Error (MAE): 50.20887432455204
Huber Loss: 49.712223052978516
R-squared: -68.2496620532456
SMAPE: 60.981634721901386


# LSTM Input: (192, 128, 128, 0.812)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | -35 | -50 | 144 | -65 | -35 | -1 | 27 |
| Prediction Trend | Down | Down | Up | Down | Down | Down | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.812
Training Time: 13.91 seconds
Mean Squared Error (MSE): 5258.871296940274
Mean Absolute Error (MAE): 61.2722097469025
Huber Loss: 60.7722053527832
R-squared: -79.07150280332182
SMAPE: 89.38531282201903


# LSTM Input: (192, 128, 128, 0.687)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 33 | 148 | 54 | 142 | -20 | -81 | 38 |
| Prediction Trend | Up | Up | Up | Up | Down | Down | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.687
Training Time: 9.05 seconds
Mean Squared Error (MSE): 6130.693327719326
Mean Absolute Error (MAE): 67.19489380778099
Huber Loss: 66.69489288330078
R-squared: -217.6465993931293
SMAPE: 72.4832842254159


# LSTM Input: (192, 128, 128, 0.562)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 10 | 23 | 11 | 29 | 36 | -1 | 3 |
| Prediction Trend | Up | Up | Down | Down | Down | Down | Down |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.562
Training Time: 12.98 seconds
Mean Squared Error (MSE): 100.17720243555844
Mean Absolute Error (MAE): 8.114901485694508
Huber Loss: 7.6227126121521
R-squared: -1.5582170636301644
SMAPE: 37.18456102794345


# LSTM Input: (192, 128, 128, 0.409)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 7 | 16 | 27 | 37 | 43 | 5 | 8 |
| Prediction Trend | Down | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.409
Training Time: 11.38 seconds
Mean Squared Error (MSE): 52.9588640253127
Mean Absolute Error (MAE): 5.333379866314583
Huber Loss: 4.860522747039795
R-squared: -0.05406273381758047
SMAPE: 19.255067719295628


# LSTM Input: (192, 128, 128, 0.284)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 9 | 17 | 24 | 36 | 43 | 4 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.284
Training Time: 10.52 seconds
Mean Squared Error (MSE): 50.93605711941965
Mean Absolute Error (MAE): 5.325249165093817
Huber Loss: 4.8477277755737305
R-squared: -0.011713729014225547
SMAPE: 19.156813892545404


# LSTM Input: (192, 128, 128, 0.047)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 8 | 16 | 25 | 33 | 42 | 4 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.047
Training Time: 12.74 seconds
Mean Squared Error (MSE): 50.61996330193587
Mean Absolute Error (MAE): 5.370919046758794
Huber Loss: 4.893134593963623
R-squared: -0.007770640423200541
SMAPE: 19.280607082524533


# LSTM Input: (192, 128, 128, 0.998)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | -2262 | -356 | -714 | 1355 | -127 | 207 | -285 |
| Prediction Trend | Down | Down | Down | Up | Down | Up | Down |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.998
Training Time: 8.17 seconds
Mean Squared Error (MSE): 1104900.9400985755
Mean Absolute Error (MAE): 766.7435409909203
Huber Loss: 766.2435913085938
R-squared: -26787.687021373542
SMAPE: 98.74075642593444


# LSTM Input: (192, 128, 128, 0.873)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | -26 | 41 | 25 | 54 | 43 | -9 | 14 |
| Prediction Trend | Down | Up | Down | Up | Down | Down | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.873
Training Time: 14.53 seconds
Mean Squared Error (MSE): 395.36925588192116
Mean Absolute Error (MAE): 16.002203506677326
Huber Loss: 15.505335807800293
R-squared: -10.550047065019982
SMAPE: 46.20359990066275


# LSTM Input: (192, 128, 128, 0.748)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 1443 | -1658 | -1681 | 1854 | 676 | -377 | 440 |
| Prediction Trend | Up | Down | Down | Up | Up | Down | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.748
Training Time: 8.86 seconds
Mean Squared Error (MSE): 1688651.7129764906
Mean Absolute Error (MAE): 1154.745084749598
Huber Loss: 1154.2449951171875
R-squared: -30726.89231425949
SMAPE: 97.13262951358087


# LSTM Input: (192, 128, 128, 0.623)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 217 | 61 | 75 | 298 | 152 | -15 | -27 |
| Prediction Trend | Up | Up | Up | Up | Up | Down | Down |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.623
Training Time: 11.85 seconds
Mean Squared Error (MSE): 18844.10697996174
Mean Absolute Error (MAE): 104.51035797514885
Huber Loss: 104.01036071777344
R-squared: -357.4760864832821
SMAPE: 77.03578171912184


# LSTM Input: (192, 128, 128, 0.498)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 18 | 8 | 41 | 53 | 47 | 8 | 2 |
| Prediction Trend | Up | Down | Up | Up | Up | Up | Down |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.498
Training Time: 10.20 seconds
Mean Squared Error (MSE): 175.93958393539535
Mean Absolute Error (MAE): 10.317294799348934
Huber Loss: 9.828015327453613
R-squared: -2.6023301967595387
SMAPE: 34.26656948383038


# LSTM Input: (192, 128, 128, 0.417)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | -20 | -3 | -37 | -57 | 48 | 27 | 19 |
| Prediction Trend | Down | Down | Down | Down | Up | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.417
Training Time: 9.50 seconds
Mean Squared Error (MSE): 2043.5931276652022
Mean Absolute Error (MAE): 34.38365796877414
Huber Loss: 33.886451721191406
R-squared: -34.08720197478921
SMAPE: 74.85743322330033


# LSTM Input: (192, 128, 128, 0.373)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 13 | 13 | 29 | 39 | 43 | 4 | 9 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.373
Training Time: 13.26 seconds
Mean Squared Error (MSE): 57.29507454879364
Mean Absolute Error (MAE): 5.628145555249688
Huber Loss: 5.152192115783691
R-squared: -0.11438010711220446
SMAPE: 19.968793583657828


# LSTM Input: (192, 128, 128, 0.292)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 8 | 17 | 26 | 34 | 41 | 4 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.292
Training Time: 10.27 seconds
Mean Squared Error (MSE): 50.425389103714345
Mean Absolute Error (MAE): 5.340835499114731
Huber Loss: 4.871865272521973
R-squared: -0.0050650444781468185
SMAPE: 19.119323476199884


# LSTM Input: (192, 128, 128, 0.248)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 8 | 16 | 25 | 34 | 43 | 4 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.248
Training Time: 10.19 seconds
Mean Squared Error (MSE): 50.70013044816623
Mean Absolute Error (MAE): 5.312689535877332
Huber Loss: 4.837305545806885
R-squared: -0.012148113264098117
SMAPE: 19.152209821580758


# LSTM Input: (192, 128, 128, 0.123)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 8 | 16 | 25 | 34 | 41 | 4 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.123
Training Time: 10.19 seconds
Mean Squared Error (MSE): 50.43998705870634
Mean Absolute Error (MAE): 5.377602623433482
Huber Loss: 4.896488666534424
R-squared: -0.007801482476898666
SMAPE: 19.319981509977698


# LSTM Input: (192, 128, 128, 0.881)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 355 | 78 | 1323 | 463 | -187 | 46 | -18 |
| Prediction Trend | Up | Up | Up | Up | Down | Up | Down |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.881
Training Time: 8.89 seconds
Mean Squared Error (MSE): 286384.33876149775
Mean Absolute Error (MAE): 343.4469911095236
Huber Loss: 342.947021484375
R-squared: -3510.3378107294343
SMAPE: 89.85155235450506


# LSTM Input: (192, 128, 128, 0.756)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 5 | 30 | 25 | 63 | 54 | -1 | 16 |
| Prediction Trend | Down | Up | Down | Up | Up | Down | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.756
Training Time: 11.31 seconds
Mean Squared Error (MSE): 232.10404654656682
Mean Absolute Error (MAE): 11.47483310275743
Huber Loss: 10.97792911529541
R-squared: -3.5699839323907137
SMAPE: 37.206831898236516


# LSTM Input: (192, 128, 128, 0.631)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | -3 | 5 | 19 | 20 | 20 | -1 | 21 |
| Prediction Trend | Down | Down | Down | Down | Down | Down | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.631
Training Time: 9.60 seconds
Mean Squared Error (MSE): 216.96238907439778
Mean Absolute Error (MAE): 12.450091288000548
Huber Loss: 11.95291519165039
R-squared: -6.088710401899623
SMAPE: 53.22046359666178


# LSTM Input: (192, 128, 128, 0.506)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | -239 | 372 | -342 | 437 | 224 | -36 | -67 |
| Prediction Trend | Down | Up | Down | Up | Up | Down | Down |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.506
Training Time: 8.94 seconds
Mean Squared Error (MSE): 74248.23937668293
Mean Absolute Error (MAE): 237.6820072511426
Huber Loss: 237.1820068359375
R-squared: -1182.3947608137585
SMAPE: 92.31522189089186


# LSTM Input: (192, 128, 128, 0.381)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 11 | 16 | 30 | 36 | 45 | 4 | 9 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.381
Training Time: 9.40 seconds
Mean Squared Error (MSE): 56.44011001503081
Mean Absolute Error (MAE): 5.5602077156508045
Huber Loss: 5.0852437019348145
R-squared: -0.10144513258845257
SMAPE: 19.680250872225237


# LSTM Input: (192, 128, 128, 0.256)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 10 | 18 | 25 | 34 | 42 | 5 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.256
Training Time: 11.15 seconds
Mean Squared Error (MSE): 51.02861187400743
Mean Absolute Error (MAE): 5.440674165479179
Huber Loss: 4.962337493896484
R-squared: -0.021282074245202422
SMAPE: 19.458143980259006


# LSTM Input: (192, 128, 128, 0.131)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 8 | 16 | 25 | 33 | 41 | 4 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.131
Training Time: 10.85 seconds
Mean Squared Error (MSE): 50.9064993353985
Mean Absolute Error (MAE): 5.395798040896046
Huber Loss: 4.918526649475098
R-squared: -0.010406089273875065
SMAPE: 19.23887755293179


# LSTM Input: (192, 128, 128, 0.889)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 15 | 29 | 11 | 22 | 53 | 2 | 8 |
| Prediction Trend | Up | Up | Down | Down | Up | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.889
Training Time: 11.35 seconds
Mean Squared Error (MSE): 145.5902309766852
Mean Absolute Error (MAE): 9.336504704692738
Huber Loss: 8.847702980041504
R-squared: -1.496318283569206
SMAPE: 28.08888287652899


# LSTM Input: (192, 128, 128, 0.764)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | -9 | 36 | 68 | -1 | 62 | -4 | 14 |
| Prediction Trend | Down | Up | Up | Down | Up | Down | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.764
Training Time: 15.16 seconds
Mean Squared Error (MSE): 647.9346407742842
Mean Absolute Error (MAE): 21.219188641630062
Huber Loss: 20.71925926208496
R-squared: -9.871357955554855
SMAPE: 62.34381032207278


# LSTM Input: (192, 128, 128, 0.639)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | -300 | -119 | -395 | 89 | -95 | -65 | 6 |
| Prediction Trend | Down | Down | Down | Up | Down | Down | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.639
Training Time: 8.52 seconds
Mean Squared Error (MSE): 45232.0389833484
Mean Absolute Error (MAE): 161.1548494789876
Huber Loss: 160.6590118408203
R-squared: -842.4135853238862
SMAPE: 81.05566289189966


# LSTM Input: (192, 128, 128, 0.514)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 5 | 18 | 35 | 34 | 43 | 4 | 8 |
| Prediction Trend | Down | Up | Up | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.514
Training Time: 10.62 seconds
Mean Squared Error (MSE): 65.18973042075477
Mean Absolute Error (MAE): 5.864062631211313
Huber Loss: 5.387984275817871
R-squared: -0.20629673562828207
SMAPE: 20.667547195990906


# LSTM Input: (192, 128, 128, 0.389)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 6 | 12 | 23 | 34 | 37 | 4 | 8 |
| Prediction Trend | Down | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.389
Training Time: 8.95 seconds
Mean Squared Error (MSE): 58.80235633683029
Mean Absolute Error (MAE): 5.783285864356423
Huber Loss: 5.306369781494141
R-squared: -0.16280866317417172
SMAPE: 20.177801930084353


# LSTM Input: (192, 128, 128, 0.264)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 11 | 18 | 24 | 33 | 42 | 5 | 9 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.264
Training Time: 9.85 seconds
Mean Squared Error (MSE): 51.88966717066317
Mean Absolute Error (MAE): 5.540790239969889
Huber Loss: 5.06276798248291
R-squared: -0.050570163739414635
SMAPE: 19.799982314233887


# LSTM Input: (192, 128, 128, 0.139)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 9 | 17 | 25 | 33 | 42 | 4 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.139
Training Time: 10.60 seconds
Mean Squared Error (MSE): 50.418571847099656
Mean Absolute Error (MAE): 5.369685353875972
Huber Loss: 4.894017696380615
R-squared: -0.004019526551648024
SMAPE: 19.22714434157996


# LSTM Input: (192, 128, 128, 0.21)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 8 | 20 | 28 | 32 | 42 | 4 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.21
Training Time: 9.08 seconds
Mean Squared Error (MSE): 53.01611874037193
Mean Absolute Error (MAE): 5.4925737672922565
Huber Loss: 5.019603729248047
R-squared: -0.036098019071405925
SMAPE: 19.380282174607853


# LSTM Input: (192, 128, 128, 0.95)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | -48 | -125 | 88 | 75 | 36 | -6 | 29 |
| Prediction Trend | Down | Down | Up | Up | Down | Down | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.95
Training Time: 9.34 seconds
Mean Squared Error (MSE): 4253.7468142193575
Mean Absolute Error (MAE): 48.80030091279218
Huber Loss: 48.30126953125
R-squared: -72.16185714530091
SMAPE: 66.15765657911696


# LSTM Input: (192, 128, 128, 0.825)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | -9 | -23 | 33 | -71 | 52 | -7 | -5 |
| Prediction Trend | Down | Down | Up | Down | Up | Down | Down |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.825
Training Time: 12.01 seconds
Mean Squared Error (MSE): 1963.5235920407501
Mean Absolute Error (MAE): 29.459564036252548
Huber Loss: 28.9596004486084
R-squared: -27.154081641883838
SMAPE: 75.81128704115574


# LSTM Input: (192, 128, 128, 0.7)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 33 | 6 | 54 | 88 | 51 | -2 | 7 |
| Prediction Trend | Up | Down | Up | Up | Up | Down | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.7
Training Time: 9.43 seconds
Mean Squared Error (MSE): 706.4449319351081
Mean Absolute Error (MAE): 19.501926579442962
Huber Loss: 19.005783081054688
R-squared: -9.43792155108125
SMAPE: 45.359605581467136


# LSTM Input: (192, 128, 128, 0.575)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 17 | 11 | 18 | 32 | 43 | -1 | 4 |
| Prediction Trend | Up | Up | Down | Down | Down | Down | Down |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.575
Training Time: 10.83 seconds
Mean Squared Error (MSE): 80.15215751496955
Mean Absolute Error (MAE): 7.221619233793141
Huber Loss: 6.733817100524902
R-squared: -1.2346834295070075
SMAPE: 34.96722478297533


# LSTM Input: (192, 128, 128, 0.218)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 7 | 13 | 25 | 33 | 42 | 4 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.218
Training Time: 10.27 seconds
Mean Squared Error (MSE): 51.875239366469124
Mean Absolute Error (MAE): 5.363629697536935
Huber Loss: 4.890946865081787
R-squared: -0.02667298034448508
SMAPE: 19.264547309838502


# LSTM Input: (192, 128, 128, 0.093)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 9 | 17 | 24 | 34 | 43 | 4 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.093
Training Time: 11.36 seconds
Mean Squared Error (MSE): 50.58361610701188
Mean Absolute Error (MAE): 5.3292891152051025
Huber Loss: 4.8576788902282715
R-squared: -0.004981732587841847
SMAPE: 19.134910684984007


# LSTM Input: (192, 128, 128, 1.0)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | -2473 | -1097 | 396 | -6 | 6 | -356 | 186 |
| Prediction Trend | Down | Down | Up | Down | Down | Down | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 1.0
Training Time: 8.40 seconds
Mean Squared Error (MSE): 1099524.7455514655
Mean Absolute Error (MAE): 654.1233399222498
Huber Loss: 653.6233520507812
R-squared: -30282.59942160517
SMAPE: 93.57129474037028


# LSTM Input: (192, 128, 128, 0.958)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | -77 | 422 | -457 | 703 | 540 | -22 | 16 |
| Prediction Trend | Down | Up | Down | Up | Up | Down | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.958
Training Time: 9.38 seconds
Mean Squared Error (MSE): 157357.0023745692
Mean Absolute Error (MAE): 310.70066580480454
Huber Loss: 310.2006530761719
R-squared: -2215.1973220892064
SMAPE: 86.18713035673437


# LSTM Input: (192, 128, 128, 0.833)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 64 | 230 | -16 | 78 | 20 | -43 | 39 |
| Prediction Trend | Up | Up | Down | Up | Down | Down | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.833
Training Time: 12.05 seconds
Mean Squared Error (MSE): 8084.395891976814
Mean Absolute Error (MAE): 65.22510329557925
Huber Loss: 64.72510528564453
R-squared: -170.41527806580083
SMAPE: 72.42472279934577


# LSTM Input: (192, 128, 128, 0.708)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | -5 | -38 | 6 | -14 | 43 | -2 | 12 |
| Prediction Trend | Down | Down | Down | Down | Down | Down | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.708
Training Time: 12.68 seconds
Mean Squared Error (MSE): 891.3207680057811
Mean Absolute Error (MAE): 21.49222670769205
Huber Loss: 20.999570846557617
R-squared: -11.83278754922837
SMAPE: 69.5531699611775


# LSTM Input: (192, 128, 128, 0.583)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | -22 | -11 | 29 | 19 | 25 | 9 | 15 |
| Prediction Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.583
Training Time: 10.92 seconds
Mean Squared Error (MSE): 375.97946444798447
Mean Absolute Error (MAE): 15.795881735224302
Huber Loss: 15.299845695495605
R-squared: -7.721140289978607
SMAPE: 49.08948128559466


# LSTM Input: (192, 128, 128, 0.422)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 9 | 23 | 22 | 40 | 38 | 2 | 9 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.422
Training Time: 20.10 seconds
Mean Squared Error (MSE): 65.6294076006557
Mean Absolute Error (MAE): 6.041886374252995
Huber Loss: 5.571440696716309
R-squared: -0.31184551140901184
SMAPE: 21.213153404705512


# LSTM Input: (192, 128, 128, 0.297)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 8 | 16 | 25 | 34 | 43 | 4 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.297
Training Time: 10.57 seconds
Mean Squared Error (MSE): 50.565070191535014
Mean Absolute Error (MAE): 5.341707158250874
Huber Loss: 4.863471031188965
R-squared: -0.005947731773025338
SMAPE: 19.212143800985633


# LSTM Input: (192, 128, 128, 0.172)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 8 | 16 | 28 | 35 | 42 | 4 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.172
Training Time: 9.72 seconds
Mean Squared Error (MSE): 51.37420547844761
Mean Absolute Error (MAE): 5.329115015308873
Huber Loss: 4.856420040130615
R-squared: -0.015753961349236408
SMAPE: 19.096658261868612


# LSTM Input: (192, 128, 128, 0.43)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 8 | 17 | 29 | 38 | 41 | 5 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.43
Training Time: 11.08 seconds
Mean Squared Error (MSE): 54.798475493733136
Mean Absolute Error (MAE): 5.442627955456168
Huber Loss: 4.967194080352783
R-squared: -0.05780740794358689
SMAPE: 19.30816440504112


# LSTM Input: (192, 128, 128, 0.305)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 10 | 16 | 27 | 35 | 44 | 4 | 9 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.305
Training Time: 9.36 seconds
Mean Squared Error (MSE): 51.613975534021485
Mean Absolute Error (MAE): 5.355120014982158
Huber Loss: 4.879053115844727
R-squared: -0.042076306410895006
SMAPE: 19.2487965277069


# LSTM Input: (192, 128, 128, 0.18)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 9 | 18 | 27 | 34 | 42 | 4 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.18
Training Time: 9.79 seconds
Mean Squared Error (MSE): 51.02680140758634
Mean Absolute Error (MAE): 5.380275787950373
Huber Loss: 4.915334701538086
R-squared: -0.01029335527760408
SMAPE: 19.209482617462655


# LSTM Input: (192, 128, 128, 0.894)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | -2099 | 1219 | 2243 | 704 | 14 | 21 | 144 |
| Prediction Trend | Down | Up | Up | Up | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.894
Training Time: 8.03 seconds
Mean Squared Error (MSE): 1616551.4074934481
Mean Absolute Error (MAE): 911.6538953651376
Huber Loss: 911.15380859375
R-squared: -29407.7261523261
SMAPE: 84.74987320202433


# LSTM Input: (192, 128, 128, 0.769)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | -111 | 315 | -441 | -400 | 24 | -50 | 130 |
| Prediction Trend | Down | Up | Down | Down | Down | Down | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.769
Training Time: 8.52 seconds
Mean Squared Error (MSE): 75408.96784955743
Mean Absolute Error (MAE): 216.1360574612001
Huber Loss: 215.63711547851562
R-squared: -1180.040525260851
SMAPE: 86.48275978538976


# LSTM Input: (192, 128, 128, 0.644)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 18 | 8 | 39 | 67 | 10 | 20 | 6 |
| Prediction Trend | Up | Down | Up | Up | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.644
Training Time: 10.30 seconds
Mean Squared Error (MSE): 446.7287181621446
Mean Absolute Error (MAE): 16.93255924448675
Huber Loss: 16.441787719726562
R-squared: -10.525778336937252
SMAPE: 41.03974179031245


# LSTM Input: (192, 128, 128, 0.519)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | -143 | 26 | -48 | -88 | 71 | -23 | 14 |
| Prediction Trend | Down | Up | Down | Down | Up | Down | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.519
Training Time: 10.12 seconds
Mean Squared Error (MSE): 6481.3321682614605
Mean Absolute Error (MAE): 59.99488887981493
Huber Loss: 59.495849609375
R-squared: -140.62110487301533
SMAPE: 69.0465118796423


# LSTM Input: (192, 128, 128, 0.394)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 14 | 31 | 27 | 23 | 50 | 1 | 6 |
| Prediction Trend | Up | Up | Down | Down | Up | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.394
Training Time: 10.97 seconds
Mean Squared Error (MSE): 112.43711516911483
Mean Absolute Error (MAE): 8.140451318349967
Huber Loss: 7.66897439956665
R-squared: -1.1943537674110125
SMAPE: 26.68662736512034


# LSTM Input: (192, 128, 128, 0.269)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 10 | 17 | 26 | 36 | 43 | 3 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.269
Training Time: 10.07 seconds
Mean Squared Error (MSE): 51.06436200170098
Mean Absolute Error (MAE): 5.34331303388894
Huber Loss: 4.8639912605285645
R-squared: -0.021679949553341293
SMAPE: 19.328389332908287


# LSTM Input: (192, 128, 128, 0.902)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 42 | 334 | 370 | -349 | -99 | -31 | 25 |
| Prediction Trend | Up | Up | Up | Down | Down | Down | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.902
Training Time: 9.07 seconds
Mean Squared Error (MSE): 55488.17140146723
Mean Absolute Error (MAE): 181.55528113955543
Huber Loss: 181.05528259277344
R-squared: -709.0765542750447
SMAPE: 85.6338705782609


# LSTM Input: (192, 128, 128, 0.777)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | -331 | 1026 | -769 | 586 | 353 | 46 | -148 |
| Prediction Trend | Down | Up | Down | Up | Up | Up | Down |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.777
Training Time: 8.32 seconds
Mean Squared Error (MSE): 314831.3303323748
Mean Absolute Error (MAE): 458.35455075737576
Huber Loss: 457.85455322265625
R-squared: -4754.353338679875
SMAPE: 92.62832334789032


# LSTM Input: (192, 128, 128, 0.652)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | -43 | 12 | 339 | 563 | 74 | 75 | -110 |
| Prediction Trend | Down | Up | Up | Up | Up | Up | Down |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.652
Training Time: 8.31 seconds
Mean Squared Error (MSE): 57113.85731974727
Mean Absolute Error (MAE): 160.48590927870094
Huber Loss: 159.99000549316406
R-squared: -932.5955537088943
SMAPE: 74.0830719097683


# LSTM Input: (192, 128, 128, 0.527)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | -208 | -275 | -55 | -205 | 109 | 37 | -33 |
| Prediction Trend | Down | Down | Down | Down | Up | Up | Down |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.527
Training Time: 9.16 seconds
Mean Squared Error (MSE): 28350.664745377428
Mean Absolute Error (MAE): 137.16343033070464
Huber Loss: 136.66342163085938
R-squared: -509.1492782321489
SMAPE: 89.36792888698447


# LSTM Input: (192, 128, 128, 0.402)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 23 | 6 | 5 | 25 | 49 | 7 | 11 |
| Prediction Trend | Up | Down | Down | Down | Up | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.402
Training Time: 9.50 seconds
Mean Squared Error (MSE): 173.21962317104263
Mean Absolute Error (MAE): 10.149062730017164
Huber Loss: 9.667752265930176
R-squared: -2.2685258697005626
SMAPE: 34.149049280606214


# LSTM Input: (192, 128, 128, 0.277)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 8 | 19 | 30 | 34 | 41 | 4 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.277
Training Time: 9.63 seconds
Mean Squared Error (MSE): 54.10808140921273
Mean Absolute Error (MAE): 5.505091942086511
Huber Loss: 5.031301498413086
R-squared: -0.04654713712423627
SMAPE: 19.367035613759565


# LSTM Input: (192, 128, 128, 0.223)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 8 | 17 | 25 | 34 | 43 | 5 | 9 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.223
Training Time: 9.36 seconds
Mean Squared Error (MSE): 50.74747639627323
Mean Absolute Error (MAE): 5.312508680382554
Huber Loss: 4.833678722381592
R-squared: -0.017318259957904543
SMAPE: 19.084044640337584


# LSTM Input: (192, 128, 128, 0.142)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 8 | 18 | 24 | 34 | 43 | 4 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.142
Training Time: 9.44 seconds
Mean Squared Error (MSE): 50.67810382795233
Mean Absolute Error (MAE): 5.3360450425926516
Huber Loss: 4.861839771270752
R-squared: -0.007798457776807766
SMAPE: 19.10563174666042


# LSTM Input: (192, 128, 128, 0.098)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 9 | 17 | 25 | 33 | 42 | 4 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.098
Training Time: 10.03 seconds
Mean Squared Error (MSE): 50.48387198691686
Mean Absolute Error (MAE): 5.3657418384032995
Huber Loss: 4.888955116271973
R-squared: -0.005546404811939132
SMAPE: 19.206290011720846


# LSTM Input: (192, 128, 128, 0.037)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 9 | 17 | 25 | 33 | 42 | 4 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.037
Training Time: 17.60 seconds
Mean Squared Error (MSE): 50.35260382763601
Mean Absolute Error (MAE): 5.340712482426442
Huber Loss: 4.863028526306152
R-squared: -0.0016566872273989627
SMAPE: 19.15731550378074


# LSTM Input: (192, 128, 128, 0.963)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 30 | 76 | -2 | 64 | 121 | 20 | 25 |
| Prediction Trend | Up | Up | Down | Up | Up | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.963
Training Time: 14.86 seconds
Mean Squared Error (MSE): 1844.6905798254738
Mean Absolute Error (MAE): 35.89452253961239
Huber Loss: 35.39452362060547
R-squared: -40.99093845131343
SMAPE: 60.77370297022044


# LSTM Input: (192, 128, 128, 0.838)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 107 | -411 | 67 | -2810 | -283 | 123 | 403 |
| Prediction Trend | Up | Down | Up | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.838
Training Time: 8.84 seconds
Mean Squared Error (MSE): 1222501.4908884137
Mean Absolute Error (MAE): 606.9816519549104
Huber Loss: 606.4815673828125
R-squared: -16255.401843572865
SMAPE: 88.82942284521805


# LSTM Input: (192, 128, 128, 0.713)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 36 | 95 | -31 | 47 | 100 | -26 | 22 |
| Prediction Trend | Up | Up | Down | Up | Up | Down | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.713
Training Time: 14.80 seconds
Mean Squared Error (MSE): 2139.6638459320957
Mean Absolute Error (MAE): 39.35656401251449
Huber Loss: 38.85771942138672
R-squared: -50.41702826475626
SMAPE: 62.9408138617746


# LSTM Input: (192, 128, 128, 0.588)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | -22 | -1 | 24 | 34 | 23 | 2 | 10 |
| Prediction Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.588
Training Time: 14.07 seconds
Mean Squared Error (MSE): 282.5902026873681
Mean Absolute Error (MAE): 12.662831500273983
Huber Loss: 12.175727844238281
R-squared: -5.694408894708504
SMAPE: 44.36733931920113


# LSTM Input: (192, 128, 128, 0.231)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 8 | 16 | 23 | 36 | 44 | 4 | 9 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.231
Training Time: 9.37 seconds
Mean Squared Error (MSE): 52.25922119062529
Mean Absolute Error (MAE): 5.325365037739682
Huber Loss: 4.848021030426025
R-squared: -0.03667315809737971
SMAPE: 19.160366491467617


# LSTM Input: (192, 128, 128, 0.971)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 59 | -123 | 150 | -18 | 115 | 0 | -10 |
| Prediction Trend | Up | Down | Up | Down | Up | Down | Down |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.971
Training Time: 9.73 seconds
Mean Squared Error (MSE): 6574.701027318149
Mean Absolute Error (MAE): 66.0391962617433
Huber Loss: 65.53919982910156
R-squared: -100.47743187390286
SMAPE: 84.91937994825604


# LSTM Input: (192, 128, 128, 0.846)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | -21 | 14 | -29 | -4 | 16 | -6 | 14 |
| Prediction Trend | Down | Up | Down | Down | Down | Down | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.846
Training Time: 13.07 seconds
Mean Squared Error (MSE): 915.8936674578835
Mean Absolute Error (MAE): 24.354119949600324
Huber Loss: 23.855106353759766
R-squared: -14.913483653607438
SMAPE: 70.71552624780686


# LSTM Input: (192, 128, 128, 0.721)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | -82 | -194 | 7 | 22 | 75 | -28 | 59 |
| Prediction Trend | Down | Down | Down | Down | Up | Down | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.721
Training Time: 11.28 seconds
Mean Squared Error (MSE): 8314.260918647433
Mean Absolute Error (MAE): 64.34352425734203
Huber Loss: 63.84492492675781
R-squared: -190.90427568761262
SMAPE: 68.87759416585432


# LSTM Input: (192, 128, 128, 0.596)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 458 | -99 | 332 | 94 | 310 | 14 | 5 |
| Prediction Trend | Up | Down | Up | Up | Up | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.596
Training Time: 8.67 seconds
Mean Squared Error (MSE): 56376.70087833404
Mean Absolute Error (MAE): 174.34851505541477
Huber Loss: 173.85142517089844
R-squared: -1241.4468200256238
SMAPE: 71.0848073519192


# LSTM Input: (192, 128, 128, 0.471)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 17 | 3 | 18 | 62 | 48 | -4 | -3 |
| Prediction Trend | Up | Down | Down | Up | Up | Down | Down |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.471
Training Time: 11.70 seconds
Mean Squared Error (MSE): 236.7100635688047
Mean Absolute Error (MAE): 12.411191691752196
Huber Loss: 11.916272163391113
R-squared: -5.509855338760288
SMAPE: 51.9243626899089


# LSTM Input: (192, 128, 128, 0.346)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 11 | 25 | 21 | 28 | 45 | 4 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.346
Training Time: 9.75 seconds
Mean Squared Error (MSE): 70.08110058077155
Mean Absolute Error (MAE): 6.340202471025947
Huber Loss: 5.858011722564697
R-squared: -0.28099131942145766
SMAPE: 21.15678124635044


# LSTM Input: (192, 128, 128, 0.109)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 9 | 16 | 25 | 35 | 43 | 4 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.109
Training Time: 10.77 seconds
Mean Squared Error (MSE): 50.625936790751965
Mean Absolute Error (MAE): 5.324594456322339
Huber Loss: 4.853776454925537
R-squared: -0.00571714044427856
SMAPE: 19.1599215945125


# LSTM Input: (192, 128, 128, 0.028)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 9 | 17 | 25 | 34 | 42 | 4 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.028
Training Time: 29.82 seconds
Mean Squared Error (MSE): 50.31180697245276
Mean Absolute Error (MAE): 5.340180380814741
Huber Loss: 4.8663716316223145
R-squared: -0.0008025501264664772
SMAPE: 19.149300487062654


# LSTM Input: (192, 128, 128, 0.435)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 10 | 13 | 17 | 45 | 36 | 4 | 13 |
| Prediction Trend | Up | Up | Down | Up | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.435
Training Time: 10.06 seconds
Mean Squared Error (MSE): 87.8056662945465
Mean Absolute Error (MAE): 7.013181439873312
Huber Loss: 6.525652885437012
R-squared: -0.8054783029427244
SMAPE: 22.692998292005484


# LSTM Input: (192, 128, 128, 0.31)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 9 | 17 | 25 | 34 | 42 | 3 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.31
Training Time: 10.72 seconds
Mean Squared Error (MSE): 50.50199309161444
Mean Absolute Error (MAE): 5.365391565828907
Huber Loss: 4.889873504638672
R-squared: -0.02039038435350902
SMAPE: 19.386881773970757


# LSTM Input: (192, 128, 128, 0.185)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 8 | 17 | 25 | 34 | 43 | 4 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.185
Training Time: 9.57 seconds
Mean Squared Error (MSE): 50.5860162625054
Mean Absolute Error (MAE): 5.308436809753885
Huber Loss: 4.829684734344482
R-squared: -0.008822713935268059
SMAPE: 19.09214456860729


# LSTM Input: (192, 128, 128, 0.06)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 9 | 17 | 26 | 34 | 42 | 4 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.06
Training Time: 13.35 seconds
Mean Squared Error (MSE): 50.32437612873521
Mean Absolute Error (MAE): 5.324719805295776
Huber Loss: 4.854977607727051
R-squared: -0.001605465317822035
SMAPE: 19.103511563935815


# LSTM Input: (192, 128, 128, 0.443)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | -5 | 19 | 28 | 43 | 52 | 8 | 8 |
| Prediction Trend | Down | Up | Down | Up | Up | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.443
Training Time: 10.76 seconds
Mean Squared Error (MSE): 98.54065280834155
Mean Absolute Error (MAE): 7.57355798020655
Huber Loss: 7.088679790496826
R-squared: -1.22740727580901
SMAPE: 31.42505281180189


# LSTM Input: (192, 128, 128, 0.318)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 11 | 16 | 25 | 34 | 43 | 4 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.318
Training Time: 11.22 seconds
Mean Squared Error (MSE): 51.44714579258236
Mean Absolute Error (MAE): 5.429142759770763
Huber Loss: 4.955753326416016
R-squared: -0.029452211933606476
SMAPE: 19.5378170517131


# LSTM Input: (192, 128, 128, 0.193)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 7 | 15 | 24 | 32 | 42 | 4 | 8 |
| Prediction Trend | Down | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.193
Training Time: 9.03 seconds
Mean Squared Error (MSE): 51.987574825086654
Mean Absolute Error (MAE): 5.407958857867183
Huber Loss: 4.937631607055664
R-squared: -0.03103610708623223
SMAPE: 19.378589677256027


# LSTM Input: (192, 128, 128, 0.068)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 9 | 16 | 25 | 34 | 42 | 4 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.068
Training Time: 15.08 seconds
Mean Squared Error (MSE): 50.27534725099209
Mean Absolute Error (MAE): 5.3240483569450126
Huber Loss: 4.851216793060303
R-squared: -0.0012046371940289521
SMAPE: 19.091770614288585


# LSTM Input: (192, 128, 128, 0.907)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 42 | 7 | 104 | -118 | 38 | -61 | 3 |
| Prediction Trend | Up | Down | Up | Down | Down | Down | Down |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.907
Training Time: 11.72 seconds
Mean Squared Error (MSE): 5007.057596739166
Mean Absolute Error (MAE): 50.1407869592005
Huber Loss: 49.6454963684082
R-squared: -127.33658632700114
SMAPE: 60.4135672457179


# LSTM Input: (192, 128, 128, 0.782)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | -42 | 14 | -40 | 53 | -8 | -1 | 18 |
| Prediction Trend | Down | Up | Down | Up | Down | Down | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.782
Training Time: 10.03 seconds
Mean Squared Error (MSE): 1450.6152968004574
Mean Absolute Error (MAE): 29.568298507912626
Huber Loss: 29.069807052612305
R-squared: -27.519368489157984
SMAPE: 69.44731395876983


# LSTM Input: (192, 128, 128, 0.657)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 25 | 29 | -26 | 81 | 39 | 9 | 15 |
| Prediction Trend | Up | Up | Down | Up | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.657
Training Time: 10.08 seconds
Mean Squared Error (MSE): 808.6899573683758
Mean Absolute Error (MAE): 20.68871582122076
Huber Loss: 20.192398071289062
R-squared: -9.979165387152445
SMAPE: 44.06447342138895


# LSTM Input: (192, 128, 128, 0.532)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | -29 | 18 | -23 | 52 | 40 | 25 | -3 |
| Prediction Trend | Down | Up | Down | Up | Down | Up | Down |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.532
Training Time: 10.30 seconds
Mean Squared Error (MSE): 716.4801176937152
Mean Absolute Error (MAE): 21.297061472522966
Huber Loss: 20.79974365234375
R-squared: -20.12483199411789
SMAPE: 60.73471161541719


# LSTM Input: (192, 128, 128, 0.147)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 8 | 17 | 24 | 33 | 41 | 4 | 9 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.147
Training Time: 9.63 seconds
Mean Squared Error (MSE): 50.67320422313582
Mean Absolute Error (MAE): 5.3797162511721766
Huber Loss: 4.905282974243164
R-squared: -0.009492151835594946
SMAPE: 19.152325765594938


# LSTM Input: (192, 128, 128, 0.915)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 59 | -12 | 39 | 33 | 71 | 14 | 2 |
| Prediction Trend | Up | Down | Up | Down | Up | Up | Down |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.915
Training Time: 10.20 seconds
Mean Squared Error (MSE): 687.2611451474023
Mean Absolute Error (MAE): 20.7360506479432
Huber Loss: 20.240760803222656
R-squared: -17.063052741311193
SMAPE: 49.71092597026157


# LSTM Input: (192, 128, 128, 0.79)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | -337 | -290 | -581 | 58 | 109 | 41 | 82 |
| Prediction Trend | Down | Down | Down | Up | Up | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.79
Training Time: 9.19 seconds
Mean Squared Error (MSE): 84522.49875621882
Mean Absolute Error (MAE): 208.29323778347091
Huber Loss: 207.79324340820312
R-squared: -1364.4050301381496
SMAPE: 76.65000789505252


# LSTM Input: (192, 128, 128, 0.665)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 43 | 31 | -39 | 16 | 62 | 6 | 7 |
| Prediction Trend | Up | Up | Down | Down | Up | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.665
Training Time: 9.90 seconds
Mean Squared Error (MSE): 939.9602575882909
Mean Absolute Error (MAE): 22.463973156448933
Huber Loss: 21.970102310180664
R-squared: -13.421128297926916
SMAPE: 44.27945494350698


# LSTM Input: (192, 128, 128, 0.54)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 24 | 16 | 53 | 33 | 24 | 10 | 21 |
| Prediction Trend | Up | Up | Up | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.54
Training Time: 10.12 seconds
Mean Squared Error (MSE): 267.5507902567387
Mean Absolute Error (MAE): 13.52240224760406
Huber Loss: 13.032451629638672
R-squared: -6.571996015237667
SMAPE: 34.66023311050216


# LSTM Input: (192, 128, 128, 0.014)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 9 | 18 | 25 | 34 | 43 | 4 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.014
Training Time: 30.58 seconds
Mean Squared Error (MSE): 50.02651745548321
Mean Absolute Error (MAE): 5.322377941640868
Huber Loss: 4.84393310546875
R-squared: 0.002865658869154527
SMAPE: 19.13835510488901


# LSTM Input: (192, 128, 128, 0.155)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 9 | 17 | 26 | 33 | 42 | 4 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.155
Training Time: 10.76 seconds
Mean Squared Error (MSE): 50.45430206407823
Mean Absolute Error (MAE): 5.349332204481371
Huber Loss: 4.875275611877441
R-squared: -0.0053839781791083586
SMAPE: 19.140347291905556


# LSTM Input: (192, 128, 128, 0.923)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 90 | -154 | -11 | 314 | 46 | 57 | -109 |
| Prediction Trend | Up | Down | Down | Up | Down | Up | Down |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.923
Training Time: 9.73 seconds
Mean Squared Error (MSE): 18902.62403685195
Mean Absolute Error (MAE): 106.37697178814686
Huber Loss: 105.87970733642578
R-squared: -499.90720191467017
SMAPE: 79.65353199454663


# LSTM Input: (192, 128, 128, 0.798)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 82 | 6 | -4 | -47 | 135 | -41 | 38 |
| Prediction Trend | Up | Down | Down | Down | Up | Down | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.798
Training Time: 10.87 seconds
Mean Squared Error (MSE): 3524.140260854292
Mean Absolute Error (MAE): 51.539584912410405
Huber Loss: 51.04045104980469
R-squared: -111.7638918484129
SMAPE: 77.17862990515471


# LSTM Input: (192, 128, 128, 0.673)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 684 | 432 | 680 | 859 | -486 | 231 | 170 |
| Prediction Trend | Up | Up | Up | Up | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.673
Training Time: 8.96 seconds
Mean Squared Error (MSE): 299859.3711196741
Mean Absolute Error (MAE): 498.6412056643947
Huber Loss: 498.14117431640625
R-squared: -6170.733747984186
SMAPE: 94.7013516691963


# LSTM Input: (192, 128, 128, 0.548)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 5 | -49 | 60 | -16 | 25 | 16 | 1 |
| Prediction Trend | Down | Down | Up | Down | Down | Up | Down |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.548
Training Time: 11.00 seconds
Mean Squared Error (MSE): 1256.6826115874462
Mean Absolute Error (MAE): 27.243864643533218
Huber Loss: 26.748157501220703
R-squared: -18.70108048828329
SMAPE: 62.467091952692535


# LSTM Input: (192, 128, 128, 0.03)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 8 | 16 | 25 | 34 | 42 | 4 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.03
Training Time: 25.38 seconds
Mean Squared Error (MSE): 50.29437785425421
Mean Absolute Error (MAE): 5.32324099054142
Huber Loss: 4.8469319343566895
R-squared: -0.0007211299058197554
SMAPE: 19.1206743235994


# LSTM Input: (192, 128, 128, 0.976)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 1246 | 625 | -995 | -1289 | -667 | 96 | 51 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.976
Training Time: 8.77 seconds
Mean Squared Error (MSE): 743187.2913134722
Mean Absolute Error (MAE): 718.7969417701772
Huber Loss: 718.2969360351562
R-squared: -12977.365502540328
SMAPE: 94.03913394800506


# LSTM Input: (192, 128, 128, 0.851)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | -520 | 1165 | 2383 | 913 | -1460 | 26 | -139 |
| Prediction Trend | Down | Up | Up | Up | Down | Up | Down |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.851
Training Time: 8.43 seconds
Mean Squared Error (MSE): 1459839.7273472226
Mean Absolute Error (MAE): 941.5987159573302
Huber Loss: 941.0987548828125
R-squared: -21124.64440681227
SMAPE: 94.54827731327799


# LSTM Input: (192, 128, 128, 0.726)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | -54 | 216 | -22 | 36 | -27 | 4 | 8 |
| Prediction Trend | Down | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.726
Training Time: 12.99 seconds
Mean Squared Error (MSE): 7296.851268811331
Mean Absolute Error (MAE): 55.800399328170194
Huber Loss: 55.31660461425781
R-squared: -114.6940491850995
SMAPE: 63.63636179031046


# LSTM Input: (192, 128, 128, 0.601)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 29 | 17 | 11 | 64 | 33 | 8 | 4 |
| Prediction Trend | Up | Up | Down | Up | Down | Up | Down |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.601
Training Time: 13.69 seconds
Mean Squared Error (MSE): 284.0579223594999
Mean Absolute Error (MAE): 13.063894762473852
Huber Loss: 12.570470809936523
R-squared: -4.31720721685849
SMAPE: 34.43971520306742


# LSTM Input: (192, 128, 128, 0.476)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 18 | 34 | 49 | 16 | 34 | 4 | 8 |
| Prediction Trend | Up | Up | Up | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.476
Training Time: 9.35 seconds
Mean Squared Error (MSE): 244.3969531752197
Mean Absolute Error (MAE): 12.04575232543102
Huber Loss: 11.561741828918457
R-squared: -2.57446363150368
SMAPE: 30.02108564759321


# LSTM Input: (192, 128, 128, 0.351)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 21 | 5 | 1 | 21 | 24 | -6 | 13 |
| Prediction Trend | Up | Down | Down | Down | Down | Down | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.351
Training Time: 9.86 seconds
Mean Squared Error (MSE): 260.58694848050834
Mean Absolute Error (MAE): 13.59703515470028
Huber Loss: 13.101612091064453
R-squared: -5.244339928105668
SMAPE: 51.51444080139367


# LSTM Input: (192, 128, 128, 0.114)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 8 | 16 | 25 | 35 | 43 | 4 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.114
Training Time: 10.02 seconds
Mean Squared Error (MSE): 50.59443161959032
Mean Absolute Error (MAE): 5.308096264089857
Huber Loss: 4.831956386566162
R-squared: -0.009224820738089199
SMAPE: 19.143657040835528


# LSTM Input: (192, 128, 128, 0.021)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 8 | 16 | 25 | 34 | 42 | 4 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.021
Training Time: 26.81 seconds
Mean Squared Error (MSE): 50.29066104074421
Mean Absolute Error (MAE): 5.32575681906979
Huber Loss: 4.850688934326172
R-squared: -0.0004764190931987005
SMAPE: 19.11759530868422


# LSTM Input: (192, 128, 128, 0.984)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 14 | 23 | 31 | 53 | 48 | 6 | 12 |
| Prediction Trend | Up | Up | Up | Up | Up | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.984
Training Time: 10.77 seconds
Mean Squared Error (MSE): 124.4947062528985
Mean Absolute Error (MAE): 8.21321100442588
Huber Loss: 7.7377190589904785
R-squared: -1.24499050993675
SMAPE: 24.028112231309017


# LSTM Input: (192, 128, 128, 0.859)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 973 | -392 | 315 | -632 | -387 | 132 | -107 |
| Prediction Trend | Up | Down | Up | Down | Down | Up | Down |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.859
Training Time: 8.88 seconds
Mean Squared Error (MSE): 254638.68660415785
Mean Absolute Error (MAE): 415.8787366257233
Huber Loss: 415.3787536621094
R-squared: -5861.087209524228
SMAPE: 96.39186551889178


# LSTM Input: (192, 128, 128, 0.734)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 13 | 37 | 40 | -59 | 114 | 3 | 10 |
| Prediction Trend | Up | Up | Up | Down | Up | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.734
Training Time: 13.26 seconds
Mean Squared Error (MSE): 2189.469333141592
Mean Absolute Error (MAE): 30.86964821653301
Huber Loss: 30.384897232055664
R-squared: -32.0748471311554
SMAPE: 42.857841985937426


# LSTM Input: (192, 128, 128, 0.609)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 215 | 256 | 14 | -105 | 114 | 16 | 59 |
| Prediction Trend | Up | Up | Down | Down | Up | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.609
Training Time: 9.51 seconds
Mean Squared Error (MSE): 18156.40838245226
Mean Absolute Error (MAE): 104.34941046416354
Huber Loss: 103.85051727294922
R-squared: -378.39339475668237
SMAPE: 70.66574252526529


# LSTM Input: (192, 128, 128, 0.484)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 30 | 30 | 43 | 13 | 62 | 6 | 8 |
| Prediction Trend | Up | Up | Up | Down | Up | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.484
Training Time: 11.75 seconds
Mean Squared Error (MSE): 310.4284582081072
Mean Absolute Error (MAE): 14.32548599908141
Huber Loss: 13.833796501159668
R-squared: -4.767631861853893
SMAPE: 33.49942243061763


# LSTM Input: (192, 128, 128, 0.359)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 11 | 18 | 28 | 35 | 44 | 4 | 9 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.359
Training Time: 11.18 seconds
Mean Squared Error (MSE): 52.57129660775614
Mean Absolute Error (MAE): 5.455292560616317
Huber Loss: 4.979339599609375
R-squared: -0.056317670404722166
SMAPE: 19.506104579223003


# LSTM Input: (192, 128, 128, 0.053)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 8 | 16 | 25 | 34 | 43 | 4 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.053
Training Time: 19.14 seconds
Mean Squared Error (MSE): 50.386375741993
Mean Absolute Error (MAE): 5.30409894670759
Huber Loss: 4.830775737762451
R-squared: -0.0023134495270959693
SMAPE: 19.06689475928369


# LSTM Input: (192, 128, 128, 0.992)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | -2467 | -2073 | 1649 | -663 | 140 | 61 | 468 |
| Prediction Trend | Down | Down | Up | Down | Up | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.992
Training Time: 8.38 seconds
Mean Squared Error (MSE): 1972534.8683302442
Mean Absolute Error (MAE): 1070.2005667459396
Huber Loss: 1069.7005615234375
R-squared: -41867.813212293746
SMAPE: 90.80478431533572


# LSTM Input: (192, 128, 128, 0.867)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 2 | 19 | -20 | 62 | 2 | 5 | 15 |
| Prediction Trend | Down | Up | Down | Up | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.867
Training Time: 17.03 seconds
Mean Squared Error (MSE): 701.7745896776029
Mean Absolute Error (MAE): 19.60072839341196
Huber Loss: 19.117210388183594
R-squared: -10.51585146141782
SMAPE: 51.25829464165087


# LSTM Input: (192, 128, 128, 0.742)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 314 | 551 | -548 | -458 | 475 | 50 | -118 |
| Prediction Trend | Up | Up | Down | Down | Up | Up | Down |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.742
Training Time: 9.64 seconds
Mean Squared Error (MSE): 166961.3488700428
Mean Absolute Error (MAE): 359.9567411318928
Huber Loss: 359.4567565917969
R-squared: -2762.245421402314
SMAPE: 93.90023855207441


# LSTM Input: (192, 128, 128, 0.617)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | -14 | 55 | -25 | 25 | 36 | 7 | 20 |
| Prediction Trend | Down | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.617
Training Time: 10.94 seconds
Mean Squared Error (MSE): 724.827236058343
Mean Absolute Error (MAE): 20.808588556691905
Huber Loss: 20.31233024597168
R-squared: -11.807795159562463
SMAPE: 52.4075914186825


# LSTM Input: (192, 128, 128, 0.492)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 6 | 7 | 20 | 39 | 36 | 9 | 7 |
| Prediction Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.492
Training Time: 10.19 seconds
Mean Squared Error (MSE): 73.66091651243902
Mean Absolute Error (MAE): 6.539242602529981
Huber Loss: 6.053641319274902
R-squared: -0.7250234068261784
SMAPE: 23.224107160490444


# LSTM Input: (192, 128, 128, 0.367)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 15 | 15 | 32 | 40 | 45 | 5 | 7 |
| Prediction Trend | Up | Up | Up | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.367
Training Time: 9.30 seconds
Mean Squared Error (MSE): 71.59557855146745
Mean Absolute Error (MAE): 6.26724750330659
Huber Loss: 5.783361911773682
R-squared: -0.383229618170338
SMAPE: 21.463026641125563


# LSTM Input: (192, 128, 128, 0.242)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 9 | 16 | 25 | 34 | 42 | 4 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.242
Training Time: 9.53 seconds
Mean Squared Error (MSE): 50.334427389244524
Mean Absolute Error (MAE): 5.33106457943819
Huber Loss: 4.860542297363281
R-squared: -0.0016706255812820434
SMAPE: 19.163864769104205


# LSTM Input: (192, 128, 128, 0.456)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 19 | 10 | 28 | 50 | 45 | 1 | 10 |
| Prediction Trend | Up | Down | Down | Up | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.456
Training Time: 11.13 seconds
Mean Squared Error (MSE): 110.56506104082209
Mean Absolute Error (MAE): 7.709403975885741
Huber Loss: 7.226534843444824
R-squared: -1.090122777763904
SMAPE: 25.252193741569872


# LSTM Input: (192, 128, 128, 0.331)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 9 | 15 | 21 | 34 | 42 | 4 | 6 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.331
Training Time: 9.23 seconds
Mean Squared Error (MSE): 53.57871104920745
Mean Absolute Error (MAE): 5.556796187446231
Huber Loss: 5.082033634185791
R-squared: -0.1063006927088609
SMAPE: 20.165357455514453


# LSTM Input: (192, 128, 128, 0.076)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 8 | 17 | 26 | 34 | 42 | 5 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.076
Training Time: 11.64 seconds
Mean Squared Error (MSE): 50.37055086329025
Mean Absolute Error (MAE): 5.330938101625767
Huber Loss: 4.85480260848999
R-squared: -0.004135301179879544
SMAPE: 19.11971311756575


# LSTM Input: (192, 128, 128, 0.464)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 10 | 19 | 25 | 47 | 50 | 4 | 7 |
| Prediction Trend | Up | Up | Down | Up | Up | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.464
Training Time: 9.97 seconds
Mean Squared Error (MSE): 87.72834294563486
Mean Absolute Error (MAE): 6.761048961253393
Huber Loss: 6.2762274742126465
R-squared: -0.5588113034079697
SMAPE: 21.215923543581056


# LSTM Input: (192, 128, 128, 0.339)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 5 | 17 | 25 | 35 | 42 | 6 | 7 |
| Prediction Trend | Down | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.339
Training Time: 10.14 seconds
Mean Squared Error (MSE): 53.071209987221174
Mean Absolute Error (MAE): 5.484072818237097
Huber Loss: 4.999146938323975
R-squared: -0.11291267119329529
SMAPE: 20.42664824398971


# LSTM Input: (192, 128, 128, 0.084)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 8 | 17 | 25 | 33 | 43 | 4 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.084
Training Time: 11.11 seconds
Mean Squared Error (MSE): 50.61214809928119
Mean Absolute Error (MAE): 5.340361717606889
Huber Loss: 4.861409664154053
R-squared: -0.006202707949061573
SMAPE: 19.125986754892743


# LSTM Input: (192, 128, 128, 0.16)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 9 | 18 | 26 | 34 | 42 | 4 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.16
Training Time: 10.32 seconds
Mean Squared Error (MSE): 50.55233051313585
Mean Absolute Error (MAE): 5.36909280585594
Huber Loss: 4.893110752105713
R-squared: -0.00645513517794462
SMAPE: 19.267215113485804


# LSTM Input: (192, 128, 128, 0.928)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | -217 | 38 | 547 | 393 | -103 | 0 | 45 |
| Prediction Trend | Down | Up | Up | Up | Down | Down | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.928
Training Time: 13.15 seconds
Mean Squared Error (MSE): 67990.48193149615
Mean Absolute Error (MAE): 187.7662602217019
Huber Loss: 187.26748657226562
R-squared: -917.134332803953
SMAPE: 82.24640620235387


# LSTM Input: (192, 128, 128, 0.803)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | -15 | -33 | -47 | -10 | 103 | 4 | 21 |
| Prediction Trend | Down | Down | Down | Down | Up | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.803
Training Time: 9.25 seconds
Mean Squared Error (MSE): 4279.31554526837
Mean Absolute Error (MAE): 47.48290662437069
Huber Loss: 46.98651123046875
R-squared: -63.766914217249884
SMAPE: 77.20634755712527


# LSTM Input: (192, 128, 128, 0.678)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 2 | 14 | 32 | 40 | 36 | 5 | 11 |
| Prediction Trend | Down | Up | Up | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.678
Training Time: 12.22 seconds
Mean Squared Error (MSE): 75.7720852517039
Mean Absolute Error (MAE): 6.493325278669799
Huber Loss: 6.016049861907959
R-squared: -0.5575075041293073
SMAPE: 23.859490249762803


# LSTM Input: (192, 128, 128, 0.553)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 10 | 21 | 26 | 37 | 46 | 4 | 8 |
| Prediction Trend | Up | Up | Down | Down | Up | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.553
Training Time: 27.89 seconds
Mean Squared Error (MSE): 57.00725146792395
Mean Absolute Error (MAE): 5.60033884016024
Huber Loss: 5.127086639404297
R-squared: -0.11809305793529393
SMAPE: 19.694287286756225


# LSTM Input: (192, 128, 128, 0.035)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 8 | 17 | 26 | 34 | 42 | 4 | 9 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.035
Training Time: 18.21 seconds
Mean Squared Error (MSE): 50.37971026402572
Mean Absolute Error (MAE): 5.295844187136409
Huber Loss: 4.823319911956787
R-squared: -0.004531029016477982
SMAPE: 19.037129663681522


# LSTM Input: (192, 128, 128, 0.168)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 11 | 16 | 24 | 34 | 45 | 4 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.168
Training Time: 9.93 seconds
Mean Squared Error (MSE): 52.0144936082785
Mean Absolute Error (MAE): 5.428316024695936
Huber Loss: 4.951179027557373
R-squared: -0.04015608890048842
SMAPE: 19.485068273360934


# LSTM Input: (192, 128, 128, 0.936)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 487 | -434 | 448 | -540 | -538 | -172 | 178 |
| Prediction Trend | Up | Down | Up | Down | Down | Down | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.936
Training Time: 9.48 seconds
Mean Squared Error (MSE): 191041.5013986449
Mean Absolute Error (MAE): 407.5190872399986
Huber Loss: 407.01910400390625
R-squared: -4246.295565559571
SMAPE: 96.75171674716148


# LSTM Input: (192, 128, 128, 0.811)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 155 | 4 | 31 | 245 | 26 | 24 | 19 |
| Prediction Trend | Up | Down | Down | Up | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.811
Training Time: 10.60 seconds
Mean Squared Error (MSE): 9616.282000648318
Mean Absolute Error (MAE): 60.88733224803898
Huber Loss: 60.39037322998047
R-squared: -165.95624126906128
SMAPE: 53.39757497537726


# LSTM Input: (192, 128, 128, 0.686)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 25 | -106 | -119 | -114 | 67 | 9 | 11 |
| Prediction Trend | Up | Down | Down | Down | Up | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.686
Training Time: 11.17 seconds
Mean Squared Error (MSE): 8429.431896541933
Mean Absolute Error (MAE): 66.31312036676472
Huber Loss: 65.8188247680664
R-squared: -100.24773029235597
SMAPE: 62.74190326213388


# LSTM Input: (192, 128, 128, 0.561)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 4 | 21 | 12 | 50 | 44 | 3 | 7 |
| Prediction Trend | Down | Up | Down | Up | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.561
Training Time: 13.63 seconds
Mean Squared Error (MSE): 118.14645207079413
Mean Absolute Error (MAE): 7.6703485432936205
Huber Loss: 7.184504985809326
R-squared: -0.8568665474944076
SMAPE: 25.044509049293005


# LSTM Input: (192, 128, 128, 0.408)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 8 | 23 | 21 | 32 | 43 | 7 | 10 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.408
Training Time: 9.60 seconds
Mean Squared Error (MSE): 61.478058391836846
Mean Absolute Error (MAE): 6.0269438823064165
Huber Loss: 5.551329612731934
R-squared: -0.38043488682014226
SMAPE: 21.193527832219974


# LSTM Input: (192, 128, 128, 0.283)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 8 | 15 | 24 | 35 | 43 | 4 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.283
Training Time: 10.12 seconds
Mean Squared Error (MSE): 51.34282481168539
Mean Absolute Error (MAE): 5.3158744922300585
Huber Loss: 4.839615345001221
R-squared: -0.01497893721718459
SMAPE: 19.12583013028136


# LSTM Input: (192, 128, 128, 0.058)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 9 | 17 | 25 | 34 | 42 | 4 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.058
Training Time: 14.81 seconds
Mean Squared Error (MSE): 50.3636210115386
Mean Absolute Error (MAE): 5.350158183753085
Huber Loss: 4.881041526794434
R-squared: -0.003065549147654461
SMAPE: 19.199644016253593


# LSTM Input: (192, 128, 128, 0.997)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | -171 | 214 | -96 | -225 | 113 | 22 | -43 |
| Prediction Trend | Down | Up | Down | Down | Up | Up | Down |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.997
Training Time: 17.15 seconds
Mean Squared Error (MSE): 23048.207451096798
Mean Absolute Error (MAE): 128.22156517521864
Huber Loss: 127.72156524658203
R-squared: -401.96473683858807
SMAPE: 86.04305457014293


# LSTM Input: (192, 128, 128, 0.872)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | -33 | -31 | 106 | 6 | 31 | -5 | 1 |
| Prediction Trend | Down | Down | Up | Down | Down | Down | Down |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.872
Training Time: 11.14 seconds
Mean Squared Error (MSE): 1698.2019551680057
Mean Absolute Error (MAE): 32.216913619009006
Huber Loss: 31.717517852783203
R-squared: -25.43969604463956
SMAPE: 74.95856901935856


# LSTM Input: (192, 128, 128, 0.747)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | -45 | -5 | -100 | 43 | 65 | -14 | 30 |
| Prediction Trend | Down | Down | Down | Up | Up | Down | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.747
Training Time: 12.58 seconds
Mean Squared Error (MSE): 2967.3079583436033
Mean Absolute Error (MAE): 38.972578051138896
Huber Loss: 38.47520446777344
R-squared: -52.60565673654555
SMAPE: 70.72070118884324


# LSTM Input: (192, 128, 128, 0.622)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | -370 | 389 | -231 | -228 | -11 | 153 | 98 |
| Prediction Trend | Down | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.622
Training Time: 8.91 seconds
Mean Squared Error (MSE): 65493.24412959265
Mean Absolute Error (MAE): 224.9593416492955
Huber Loss: 224.4593505859375
R-squared: -1641.8626583175949
SMAPE: 95.93498776365553


# LSTM Input: (192, 128, 128, 0.497)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 4 | 14 | 23 | 36 | 38 | 4 | 7 |
| Prediction Trend | Down | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.497
Training Time: 12.06 seconds
Mean Squared Error (MSE): 55.871667085970515
Mean Absolute Error (MAE): 5.636988821483794
Huber Loss: 5.155797958374023
R-squared: -0.1282966593471882
SMAPE: 20.26559902736279


# LSTM Input: (192, 128, 128, 0.372)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 9 | 21 | 25 | 29 | 44 | 5 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.372
Training Time: 9.84 seconds
Mean Squared Error (MSE): 57.635527765128735
Mean Absolute Error (MAE): 5.761851059336239
Huber Loss: 5.285384654998779
R-squared: -0.10289971146675707
SMAPE: 19.976163035732593


# LSTM Input: (192, 128, 128, 0.247)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 8 | 17 | 27 | 36 | 44 | 4 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.247
Training Time: 9.56 seconds
Mean Squared Error (MSE): 51.61558481710029
Mean Absolute Error (MAE): 5.3131313964623175
Huber Loss: 4.839531898498535
R-squared: -0.020424911207951153
SMAPE: 19.076742914493387


# LSTM Input: (192, 128, 128, 0.122)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 9 | 16 | 27 | 35 | 43 | 4 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.122
Training Time: 10.61 seconds
Mean Squared Error (MSE): 50.78717493822379
Mean Absolute Error (MAE): 5.323202136422501
Huber Loss: 4.848866939544678
R-squared: -0.007035100389008279
SMAPE: 19.130203176940825


# LSTM Input: (192, 128, 128, 0.88)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 99 | -50 | 73 | -93 | 75 | 31 | 25 |
| Prediction Trend | Up | Down | Up | Down | Up | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.88
Training Time: 14.00 seconds
Mean Squared Error (MSE): 4782.444166884238
Mean Absolute Error (MAE): 58.474691105537666
Huber Loss: 57.97468948364258
R-squared: -92.23251278363871
SMAPE: 70.51014778294882


# LSTM Input: (192, 128, 128, 0.755)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | -11 | 17 | 38 | 25 | 73 | 6 | 13 |
| Prediction Trend | Down | Up | Up | Down | Up | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.755
Training Time: 15.61 seconds
Mean Squared Error (MSE): 284.9371880571235
Mean Absolute Error (MAE): 12.908379793167114
Huber Loss: 12.414878845214844
R-squared: -5.495330003191564
SMAPE: 35.87813440455415


# LSTM Input: (192, 128, 128, 0.63)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 9 | -6 | 39 | 40 | 42 | -4 | 24 |
| Prediction Trend | Up | Down | Up | Down | Down | Down | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.63
Training Time: 11.13 seconds
Mean Squared Error (MSE): 200.01028597115564
Mean Absolute Error (MAE): 11.361013369089893
Huber Loss: 10.86878776550293
R-squared: -6.618106029659694
SMAPE: 46.55753268688054


# LSTM Input: (192, 128, 128, 0.505)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 10 | 27 | 29 | 25 | 41 | 2 | 2 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Down |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.505
Training Time: 10.76 seconds
Mean Squared Error (MSE): 85.61968371862126
Mean Absolute Error (MAE): 7.258108556067862
Huber Loss: 6.77255392074585
R-squared: -1.1522964153493942
SMAPE: 28.734661778983373


# LSTM Input: (192, 128, 128, 0.38)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 7 | 14 | 26 | 32 | 41 | 4 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.38
Training Time: 11.72 seconds
Mean Squared Error (MSE): 51.89041490108111
Mean Absolute Error (MAE): 5.409972891515615
Huber Loss: 4.939218044281006
R-squared: -0.024216604044490282
SMAPE: 19.264825077804808


# LSTM Input: (192, 128, 128, 0.255)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 11 | 17 | 27 | 35 | 43 | 4 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.255
Training Time: 9.69 seconds
Mean Squared Error (MSE): 51.52880054990355
Mean Absolute Error (MAE): 5.420584659187162
Huber Loss: 4.9410223960876465
R-squared: -0.02711566445711425
SMAPE: 19.45908156346652


# LSTM Input: (192, 128, 128, 0.13)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 8 | 17 | 27 | 32 | 43 | 4 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.13
Training Time: 11.18 seconds
Mean Squared Error (MSE): 51.477156716252004
Mean Absolute Error (MAE): 5.39559492529655
Huber Loss: 4.922278881072998
R-squared: -0.014662219762358899
SMAPE: 19.183104701087085


# LSTM Input: (192, 128, 128, 0.941)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 1530 | -987 | 1163 | -1617 | 142 | -206 | 125 |
| Prediction Trend | Up | Down | Up | Down | Up | Down | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.941
Training Time: 8.66 seconds
Mean Squared Error (MSE): 1057553.1271861128
Mean Absolute Error (MAE): 819.748727655735
Huber Loss: 819.2487182617188
R-squared: -18600.80503802938
SMAPE: 91.01504719637491


# LSTM Input: (192, 128, 128, 0.816)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | -104 | 120 | 25 | 80 | 22 | -11 | 21 |
| Prediction Trend | Down | Up | Down | Up | Down | Down | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.816
Training Time: 11.02 seconds
Mean Squared Error (MSE): 3774.5601025311576
Mean Absolute Error (MAE): 45.205652116918245
Huber Loss: 44.706329345703125
R-squared: -83.33572923867773
SMAPE: 58.432952034884565


# LSTM Input: (192, 128, 128, 0.691)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | -481 | -728 | 832 | 1042 | -186 | 115 | 26 |
| Prediction Trend | Down | Down | Up | Up | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.691
Training Time: 8.76 seconds
Mean Squared Error (MSE): 363030.46391303994
Mean Absolute Error (MAE): 487.76959902899614
Huber Loss: 487.2696228027344
R-squared: -5089.987465016951
SMAPE: 90.65276677550656


# LSTM Input: (192, 128, 128, 0.566)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 3 | 23 | 33 | 46 | 30 | 6 | 7 |
| Prediction Trend | Down | Up | Up | Up | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.566
Training Time: 10.67 seconds
Mean Squared Error (MSE): 110.80884768189038
Mean Absolute Error (MAE): 7.964682028001669
Huber Loss: 7.476614952087402
R-squared: -1.068956294336442
SMAPE: 25.40612178448719


# LSTM Input: (192, 128, 128, 0.209)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 8 | 16 | 26 | 34 | 43 | 4 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.209
Training Time: 10.80 seconds
Mean Squared Error (MSE): 50.55238364871622
Mean Absolute Error (MAE): 5.2848988017257374
Huber Loss: 4.814871788024902
R-squared: -0.007002190191078205
SMAPE: 18.993575796649495


# LSTM Input: (192, 128, 128, 0.949)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 263 | 466 | 249 | -32 | -453 | 62 | 107 |
| Prediction Trend | Up | Up | Up | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.949
Training Time: 9.63 seconds
Mean Squared Error (MSE): 83215.90545970664
Mean Absolute Error (MAE): 234.41372477602795
Huber Loss: 233.9137420654297
R-squared: -1769.763054691422
SMAPE: 91.5881710924971


# LSTM Input: (192, 128, 128, 0.824)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 105 | -212 | 52 | -168 | 127 | 41 | 93 |
| Prediction Trend | Up | Down | Up | Down | Up | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.824
Training Time: 13.48 seconds
Mean Squared Error (MSE): 17032.2562635035
Mean Absolute Error (MAE): 108.7643321614687
Huber Loss: 108.26433563232422
R-squared: -380.4397058927102
SMAPE: 77.065743187856


# LSTM Input: (192, 128, 128, 0.699)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 23 | 26 | 17 | -54 | 32 | 3 | 14 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.699
Training Time: 9.59 seconds
Mean Squared Error (MSE): 1224.707335520175
Mean Absolute Error (MAE): 20.42451689924513
Huber Loss: 19.93430519104004
R-squared: -13.956769214285531
SMAPE: 39.679773187495535


# LSTM Input: (192, 128, 128, 0.574)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | -2 | 19 | 50 | -35 | 37 | -9 | 16 |
| Prediction Trend | Down | Up | Up | Down | Down | Down | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.574
Training Time: 11.40 seconds
Mean Squared Error (MSE): 870.6836879719094
Mean Absolute Error (MAE): 19.89415371945115
Huber Loss: 19.396188735961914
R-squared: -12.91320610035427
SMAPE: 57.29502072419586


# LSTM Input: (192, 128, 128, 0.217)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 9 | 17 | 26 | 34 | 41 | 4 | 9 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.217
Training Time: 10.28 seconds
Mean Squared Error (MSE): 50.58140895685477
Mean Absolute Error (MAE): 5.377096712994738
Huber Loss: 4.905778408050537
R-squared: -0.009712589546685255
SMAPE: 19.12636176576926


# LSTM Input: (192, 128, 128, 0.092)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 9 | 16 | 25 | 33 | 42 | 4 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.092
Training Time: 10.77 seconds
Mean Squared Error (MSE): 50.45485471614792
Mean Absolute Error (MAE): 5.350392545972552
Huber Loss: 4.87963342666626
R-squared: -0.0037395138641079634
SMAPE: 19.211491423530287


# LSTM Input: (192, 128, 128, 0.043)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 8 | 17 | 25 | 34 | 42 | 4 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.043
Training Time: 18.08 seconds
Mean Squared Error (MSE): 50.27802060033149
Mean Absolute Error (MAE): 5.318543366023472
Huber Loss: 4.847071170806885
R-squared: -0.0006330227225546738
SMAPE: 19.075758132863612


# LSTM Input: (192, 128, 128, 0.413)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 10 | 3 | 32 | 27 | 47 | 4 | 6 |
| Prediction Trend | Up | Down | Up | Down | Up | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.413
Training Time: 10.08 seconds
Mean Squared Error (MSE): 94.8522881755016
Mean Absolute Error (MAE): 7.171160436000952
Huber Loss: 6.690511226654053
R-squared: -0.7012323131016284
SMAPE: 27.17528387520912


# LSTM Input: (192, 128, 128, 0.288)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 9 | 13 | 27 | 37 | 43 | 4 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.288
Training Time: 10.45 seconds
Mean Squared Error (MSE): 54.15220982179527
Mean Absolute Error (MAE): 5.431134002549308
Huber Loss: 4.95330286026001
R-squared: -0.05501842268246298
SMAPE: 19.558518113801643


# LSTM Input: (192, 128, 128, 0.421)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 23 | 26 | 31 | 17 | 40 | 4 | 10 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.421
Training Time: 12.88 seconds
Mean Squared Error (MSE): 137.88334629196962
Mean Absolute Error (MAE): 8.913658936007492
Huber Loss: 8.43486499786377
R-squared: -1.5638739794844763
SMAPE: 26.30983035734954


# LSTM Input: (192, 128, 128, 0.296)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 7 | 18 | 25 | 36 | 42 | 5 | 9 |
| Prediction Trend | Down | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.296
Training Time: 9.63 seconds
Mean Squared Error (MSE): 51.8508397271434
Mean Absolute Error (MAE): 5.344790024822261
Huber Loss: 4.870955467224121
R-squared: -0.0450288266398593
SMAPE: 19.214575268041497


# LSTM Input: (192, 128, 128, 0.885)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 1052 | 999 | -413 | -380 | 1213 | -190 | 463 |
| Prediction Trend | Up | Up | Down | Down | Up | Down | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.885
Training Time: 8.49 seconds
Mean Squared Error (MSE): 575464.3271518245
Mean Absolute Error (MAE): 670.4267827248087
Huber Loss: 669.9267578125
R-squared: -15466.972432768323
SMAPE: 97.85885428347098


# LSTM Input: (192, 128, 128, 0.76)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 1846 | 1011 | 2011 | -2212 | -1122 | -377 | 591 |
| Prediction Trend | Up | Up | Up | Down | Down | Down | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.76
Training Time: 8.78 seconds
Mean Squared Error (MSE): 2169581.9960039207
Mean Absolute Error (MAE): 1312.855354309082
Huber Loss: 1312.3553466796875
R-squared: -42239.24704932444
SMAPE: 98.66749493436416


# LSTM Input: (192, 128, 128, 0.635)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | -100 | 9 | -219 | -220 | 362 | 61 | 73 |
| Prediction Trend | Down | Down | Down | Down | Up | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.635
Training Time: 8.52 seconds
Mean Squared Error (MSE): 35150.4466485139
Mean Absolute Error (MAE): 151.01575413528752
Huber Loss: 150.51718139648438
R-squared: -693.5251033184448
SMAPE: 82.7575427314971


# LSTM Input: (192, 128, 128, 0.51)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 3 | 13 | 29 | 30 | 36 | 5 | 8 |
| Prediction Trend | Down | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.51
Training Time: 9.50 seconds
Mean Squared Error (MSE): 66.93854961415417
Mean Absolute Error (MAE): 6.268791370651349
Huber Loss: 5.787052154541016
R-squared: -0.33609136773452825
SMAPE: 22.796051991785948


# LSTM Input: (192, 128, 128, 0.385)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 21 | 7 | 52 | 49 | 26 | 11 | 5 |
| Prediction Trend | Up | Down | Up | Up | Down | Up | Down |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.385
Training Time: 9.52 seconds
Mean Squared Error (MSE): 267.7300341207268
Mean Absolute Error (MAE): 13.229805492219471
Huber Loss: 12.735617637634277
R-squared: -4.253039070219574
SMAPE: 35.303150589972994


# LSTM Input: (192, 128, 128, 0.26)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 7 | 18 | 24 | 34 | 43 | 4 | 9 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.26
Training Time: 9.90 seconds
Mean Squared Error (MSE): 51.04662369939882
Mean Absolute Error (MAE): 5.325650275969992
Huber Loss: 4.854311466217041
R-squared: -0.02020377353365913
SMAPE: 19.041113519113086


# LSTM Input: (192, 128, 128, 0.135)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 8 | 17 | 24 | 34 | 42 | 4 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.135
Training Time: 10.00 seconds
Mean Squared Error (MSE): 50.72516744503319
Mean Absolute Error (MAE): 5.3411731679423315
Huber Loss: 4.86754035949707
R-squared: -0.007701270189397417
SMAPE: 19.129759116945852


# LSTM Input: (192, 128, 128, 0.893)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 10 | -82 | -22 | 66 | -10 | 31 | 11 |
| Prediction Trend | Up | Down | Down | Up | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.893
Training Time: 11.04 seconds
Mean Squared Error (MSE): 2407.7657566250114
Mean Absolute Error (MAE): 37.94799656446288
Huber Loss: 37.45586395263672
R-squared: -47.09313748519459
SMAPE: 65.79950151026333


# LSTM Input: (192, 128, 128, 0.768)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | -71 | -18 | -45 | 189 | 47 | -8 | -3 |
| Prediction Trend | Down | Down | Down | Up | Up | Down | Down |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.768
Training Time: 11.03 seconds
Mean Squared Error (MSE): 5300.137268545174
Mean Absolute Error (MAE): 52.82477653878076
Huber Loss: 52.327823638916016
R-squared: -78.00133577142552
SMAPE: 82.47000759398631


# LSTM Input: (192, 128, 128, 0.643)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | -8 | 46 | 45 | 47 | 45 | 4 | 10 |
| Prediction Trend | Down | Up | Up | Up | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.643
Training Time: 9.65 seconds
Mean Squared Error (MSE): 296.5619978157508
Mean Absolute Error (MAE): 12.779419029651047
Huber Loss: 12.299139022827148
R-squared: -3.8110167622899564
SMAPE: 36.12776331713183


# LSTM Input: (192, 128, 128, 0.518)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 16 | 128 | 20 | 49 | 27 | 22 | 14 |
| Prediction Trend | Up | Up | Down | Up | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.518
Training Time: 9.27 seconds
Mean Squared Error (MSE): 1959.5017492186053
Mean Absolute Error (MAE): 26.25260323569888
Huber Loss: 25.755855560302734
R-squared: -33.08576938501018
SMAPE: 39.75841306809997


# LSTM Input: (192, 128, 128, 0.393)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 12 | 19 | 23 | 39 | 45 | 5 | 9 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.393
Training Time: 11.42 seconds
Mean Squared Error (MSE): 60.38256950457264
Mean Absolute Error (MAE): 5.788143277979222
Huber Loss: 5.304294586181641
R-squared: -0.21468418610238388
SMAPE: 20.390055823874757


# LSTM Input: (192, 128, 128, 0.268)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 8 | 15 | 24 | 33 | 41 | 4 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.268
Training Time: 10.38 seconds
Mean Squared Error (MSE): 50.93625221368605
Mean Absolute Error (MAE): 5.38212230173098
Huber Loss: 4.90376615524292
R-squared: -0.010108366502552282
SMAPE: 19.23020247070605


# LSTM Input: (192, 128, 128, 0.954)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 1082 | -1281 | 1873 | 1291 | -850 | 23 | 176 |
| Prediction Trend | Up | Down | Up | Up | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.954
Training Time: 9.03 seconds
Mean Squared Error (MSE): 1221813.8820894111
Mean Absolute Error (MAE): 932.7673621891307
Huber Loss: 932.2672729492188
R-squared: -18568.844343348283
SMAPE: 93.38238367552808


# LSTM Input: (192, 128, 128, 0.829)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 0 | 137 | -27 | -74 | -199 | -36 | 45 |
| Prediction Trend | Down | Up | Down | Down | Down | Down | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.829
Training Time: 9.68 seconds
Mean Squared Error (MSE): 12895.357764393792
Mean Absolute Error (MAE): 86.555509939435
Huber Loss: 86.05641174316406
R-squared: -287.10168751735375
SMAPE: 90.14294350474123


# LSTM Input: (192, 128, 128, 0.704)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | -111 | 18 | 251 | 229 | -74 | 49 | 66 |
| Prediction Trend | Down | Up | Up | Up | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.704
Training Time: 10.60 seconds
Mean Squared Error (MSE): 17452.39928394829
Mean Absolute Error (MAE): 109.2509802636646
Huber Loss: 108.75495147705078
R-squared: -330.78084450522323
SMAPE: 77.34821488351626


# LSTM Input: (192, 128, 128, 0.579)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 20 | 29 | 9 | 36 | 35 | 6 | 13 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.579
Training Time: 10.99 seconds
Mean Squared Error (MSE): 139.60276379469022
Mean Absolute Error (MAE): 9.414295241946265
Huber Loss: 8.923800468444824
R-squared: -1.8784486858669804
SMAPE: 29.31249160467924


# LSTM Input: (192, 128, 128, 0.222)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 6 | 19 | 30 | 37 | 44 | 4 | 8 |
| Prediction Trend | Down | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.222
Training Time: 10.36 seconds
Mean Squared Error (MSE): 56.37327705625254
Mean Absolute Error (MAE): 5.462117873081545
Huber Loss: 4.984034538269043
R-squared: -0.0938279607839919
SMAPE: 19.430660155715696


# LSTM Input: (192, 128, 128, 0.097)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 8 | 16 | 24 | 34 | 43 | 4 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.097
Training Time: 10.84 seconds
Mean Squared Error (MSE): 50.79602469872441
Mean Absolute Error (MAE): 5.322699170534301
Huber Loss: 4.846500873565674
R-squared: -0.009149964644718305
SMAPE: 19.129568946472247


# LSTM Input: (192, 128, 128, 0.004)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 11 | 18 | 23 | 32 | 45 | 5 | 9 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.004
Training Time: 17.55 seconds
Mean Squared Error (MSE): 54.96118829157423
Mean Absolute Error (MAE): 5.588102432740789
Huber Loss: 5.11328649520874
R-squared: -0.07422726967586993
SMAPE: 19.894355864370826


# LSTM Input: (192, 128, 128, 0.036)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 9 | 16 | 26 | 33 | 42 | 4 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.036
Training Time: 18.71 seconds
Mean Squared Error (MSE): 50.33513984280718
Mean Absolute Error (MAE): 5.333780994220655
Huber Loss: 4.863325595855713
R-squared: -0.0011232978874954177
SMAPE: 19.129178739117098


# LSTM Input: (192, 128, 128, 0.962)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | -32 | -57 | -51 | 267 | 23 | -5 | 53 |
| Prediction Trend | Down | Down | Down | Up | Down | Down | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.962
Training Time: 11.58 seconds
Mean Squared Error (MSE): 10013.26848821968
Mean Absolute Error (MAE): 71.12320893475798
Huber Loss: 70.62320709228516
R-squared: -148.57032567997047
SMAPE: 83.00856840760785


# LSTM Input: (192, 128, 128, 0.837)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | -1345 | 1911 | -2313 | -2091 | 2855 | 48 | 54 |
| Prediction Trend | Down | Up | Down | Down | Up | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.837
Training Time: 8.41 seconds
Mean Squared Error (MSE): 3332577.083224514
Mean Absolute Error (MAE): 1516.5000598349538
Huber Loss: 1516.0
R-squared: -55136.00540261723
SMAPE: 93.45329820912241


# LSTM Input: (192, 128, 128, 0.712)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 24 | 113 | 48 | 61 | 53 | 8 | 6 |
| Prediction Trend | Up | Up | Up | Up | Up | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.712
Training Time: 10.17 seconds
Mean Squared Error (MSE): 1611.6642319437433
Mean Absolute Error (MAE): 25.762515651936432
Huber Loss: 25.269258499145508
R-squared: -22.484952236646162
SMAPE: 37.79999402678451


# LSTM Input: (192, 128, 128, 0.587)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | -1 | 18 | 43 | 24 | 50 | 6 | 5 |
| Prediction Trend | Down | Up | Up | Down | Up | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.587
Training Time: 10.01 seconds
Mean Squared Error (MSE): 132.5965459310983
Mean Absolute Error (MAE): 8.648835445545158
Huber Loss: 8.16405200958252
R-squared: -1.390378281056391
SMAPE: 33.87909421001794


# LSTM Input: (192, 128, 128, 0.23)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 8 | 16 | 25 | 36 | 43 | 4 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.23
Training Time: 10.15 seconds
Mean Squared Error (MSE): 50.973040365976985
Mean Absolute Error (MAE): 5.301401664610623
Huber Loss: 4.825498580932617
R-squared: -0.01114483753767421
SMAPE: 19.103135711882995


# LSTM Input: (192, 128, 128, 0.426)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 22 | 18 | 29 | 31 | 51 | -2 | 5 |
| Prediction Trend | Up | Up | Down | Down | Up | Down | Down |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.426
Training Time: 12.77 seconds
Mean Squared Error (MSE): 96.7294450460363
Mean Absolute Error (MAE): 8.017721621459033
Huber Loss: 7.526749610900879
R-squared: -1.7771538884198128
SMAPE: 34.381570772265775


# LSTM Input: (192, 128, 128, 0.97)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 31 | -15 | 11 | 28 | -3 | -6 | 5 |
| Prediction Trend | Up | Down | Down | Down | Down | Down | Down |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.97
Training Time: 16.52 seconds
Mean Squared Error (MSE): 597.891091219334
Mean Absolute Error (MAE): 19.585565808678968
Huber Loss: 19.093801498413086
R-squared: -12.739091921148571
SMAPE: 62.72023483873054


# LSTM Input: (192, 128, 128, 0.845)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | -50 | 163 | 108 | -158 | 107 | 28 | -12 |
| Prediction Trend | Down | Up | Up | Down | Up | Up | Down |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.845
Training Time: 13.32 seconds
Mean Squared Error (MSE): 10551.226700777692
Mean Absolute Error (MAE): 83.98156803157053
Huber Loss: 83.4815673828125
R-squared: -155.57264087162113
SMAPE: 80.58400906836437


# LSTM Input: (192, 128, 128, 0.72)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 237 | 314 | 300 | 350 | -155 | 70 | 79 |
| Prediction Trend | Up | Up | Up | Up | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.72
Training Time: 9.90 seconds
Mean Squared Error (MSE): 51868.68511987346
Mean Absolute Error (MAE): 206.8302835607204
Huber Loss: 206.33026123046875
R-squared: -945.5449057007319
SMAPE: 88.67500115795434


# LSTM Input: (192, 128, 128, 0.595)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 31 | -60 | 12 | 24 | 54 | -7 | 20 |
| Prediction Trend | Up | Down | Down | Down | Up | Down | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.595
Training Time: 9.16 seconds
Mean Squared Error (MSE): 1035.1116257238762
Mean Absolute Error (MAE): 22.609189580897894
Huber Loss: 22.11066436767578
R-squared: -19.072573010726334
SMAPE: 52.56905614877735


# LSTM Input: (192, 128, 128, 0.47)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 43 | 55 | 17 | 16 | 15 | 5 | 10 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.47
Training Time: 9.57 seconds
Mean Squared Error (MSE): 583.9656694689685
Mean Absolute Error (MAE): 18.954251178267864
Huber Loss: 18.466890335083008
R-squared: -10.546261867930221
SMAPE: 39.23013671587472


# LSTM Input: (192, 128, 128, 0.345)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 6 | 11 | 23 | 38 | 41 | 4 | 8 |
| Prediction Trend | Down | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.345
Training Time: 11.77 seconds
Mean Squared Error (MSE): 58.49070423842768
Mean Absolute Error (MAE): 5.552903116154833
Huber Loss: 5.076462268829346
R-squared: -0.12090660253199369
SMAPE: 20.031852268457193


# LSTM Input: (192, 128, 128, 0.301)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 8 | 18 | 28 | 35 | 42 | 5 | 9 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.301
Training Time: 9.52 seconds
Mean Squared Error (MSE): 51.68316991971346
Mean Absolute Error (MAE): 5.366337849980309
Huber Loss: 4.88702917098999
R-squared: -0.022240712587710494
SMAPE: 19.154014950457334


# LSTM Input: (192, 128, 128, 0.176)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 9 | 16 | 28 | 33 | 42 | 5 | 9 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.176
Training Time: 9.79 seconds
Mean Squared Error (MSE): 51.49202634603021
Mean Absolute Error (MAE): 5.407995841130108
Huber Loss: 4.930632591247559
R-squared: -0.022226909085006814
SMAPE: 19.279039740447278


# LSTM Input: (192, 128, 128, 0.027)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 8 | 17 | 25 | 34 | 42 | 4 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.027
Training Time: 20.16 seconds
Mean Squared Error (MSE): 50.33367204279033
Mean Absolute Error (MAE): 5.315805151349023
Huber Loss: 4.841187477111816
R-squared: -0.0018628862946602645
SMAPE: 19.071681530396237


# LSTM Input: (192, 128, 128, 0.434)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 10 | 23 | 27 | 22 | 46 | 5 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.434
Training Time: 9.61 seconds
Mean Squared Error (MSE): 81.47997759108432
Mean Absolute Error (MAE): 6.617213943377644
Huber Loss: 6.134349822998047
R-squared: -0.4067671355055968
SMAPE: 21.67870848157816


# LSTM Input: (192, 128, 128, 0.309)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 8 | 17 | 26 | 36 | 45 | 5 | 7 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.309
Training Time: 9.29 seconds
Mean Squared Error (MSE): 52.64264727858056
Mean Absolute Error (MAE): 5.376316111914966
Huber Loss: 4.895927906036377
R-squared: -0.06744949939380142
SMAPE: 19.441447727746517


# LSTM Input: (192, 128, 128, 0.184)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 9 | 20 | 24 | 36 | 43 | 4 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.184
Training Time: 9.44 seconds
Mean Squared Error (MSE): 52.6487178385024
Mean Absolute Error (MAE): 5.411169531394025
Huber Loss: 4.931572437286377
R-squared: -0.03463304654346376
SMAPE: 19.303990958294527


# LSTM Input: (192, 128, 128, 0.059)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 9 | 17 | 25 | 33 | 42 | 4 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.059
Training Time: 14.09 seconds
Mean Squared Error (MSE): 50.43444335502727
Mean Absolute Error (MAE): 5.371391175555535
Huber Loss: 4.900557994842529
R-squared: -0.0027388990805238106
SMAPE: 19.20189667356378


# LSTM Input: (192, 128, 128, 0.442)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 16 | 21 | 30 | 46 | 55 | 5 | 5 |
| Prediction Trend | Up | Up | Down | Up | Up | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.442
Training Time: 9.47 seconds
Mean Squared Error (MSE): 109.91769121509512
Mean Absolute Error (MAE): 8.050196696300896
Huber Loss: 7.570765972137451
R-squared: -1.2053719023657996
SMAPE: 24.300940471451483


# LSTM Input: (192, 128, 128, 0.317)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | -2 | 16 | 29 | 25 | 47 | 2 | 9 |
| Prediction Trend | Down | Up | Down | Down | Up | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.317
Training Time: 8.66 seconds
Mean Squared Error (MSE): 85.19254357345785
Mean Absolute Error (MAE): 6.93253704966331
Huber Loss: 6.45032262802124
R-squared: -0.7539777893907852
SMAPE: 31.28070561185256


# LSTM Input: (192, 128, 128, 0.192)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 8 | 16 | 25 | 35 | 43 | 4 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.192
Training Time: 10.25 seconds
Mean Squared Error (MSE): 50.58368315228638
Mean Absolute Error (MAE): 5.300921907230299
Huber Loss: 4.824614524841309
R-squared: -0.004583484456288899
SMAPE: 19.07500886662542


# LSTM Input: (192, 128, 128, 0.067)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 8 | 16 | 25 | 33 | 42 | 4 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.067
Training Time: 12.57 seconds
Mean Squared Error (MSE): 50.424948515200825
Mean Absolute Error (MAE): 5.345306979555661
Huber Loss: 4.867455959320068
R-squared: -0.002457704449471481
SMAPE: 19.147868126320645


# LSTM Input: (192, 128, 128, 0.906)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 1139 | 323 | -523 | 2038 | 1544 | 16 | 302 |
| Prediction Trend | Up | Up | Down | Up | Up | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.906
Training Time: 8.63 seconds
Mean Squared Error (MSE): 1129604.8745560276
Mean Absolute Error (MAE): 821.5542090295933
Huber Loss: 821.05419921875
R-squared: -20370.719575681574
SMAPE: 90.44251079994162


# LSTM Input: (192, 128, 128, 0.781)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 1810 | 138 | 1647 | -1888 | 589 | -400 | -185 |
| Prediction Trend | Up | Up | Up | Down | Up | Down | Down |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.781
Training Time: 8.86 seconds
Mean Squared Error (MSE): 1490861.2965284237
Mean Absolute Error (MAE): 962.1333178306112
Huber Loss: 961.6333618164062
R-squared: -28296.229442180203
SMAPE: 94.85760213915539


# LSTM Input: (192, 128, 128, 0.656)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 49 | 36 | -18 | 118 | 7 | -5 | 18 |
| Prediction Trend | Up | Up | Down | Up | Down | Down | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.656
Training Time: 10.23 seconds
Mean Squared Error (MSE): 1800.7537565656573
Mean Absolute Error (MAE): 34.35630772389522
Huber Loss: 33.85636520385742
R-squared: -28.085941807925572
SMAPE: 68.0635119615748


# LSTM Input: (192, 128, 128, 0.531)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 4 | 20 | 27 | 22 | 44 | 4 | 7 |
| Prediction Trend | Down | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.531
Training Time: 12.22 seconds
Mean Squared Error (MSE): 76.56615987496842
Mean Absolute Error (MAE): 6.386593795147072
Huber Loss: 5.90716028213501
R-squared: -0.39169841946039113
SMAPE: 22.46668085296076


# LSTM Input: (192, 128, 128, 0.406)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 12 | 5 | 25 | 14 | 42 | 10 | 7 |
| Prediction Trend | Up | Down | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.406
Training Time: 10.00 seconds
Mean Squared Error (MSE): 132.71818365314442
Mean Absolute Error (MAE): 8.51222359728651
Huber Loss: 8.025348663330078
R-squared: -1.5600068196977492
SMAPE: 29.631439773813895


# LSTM Input: (192, 128, 128, 0.281)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 10 | 16 | 25 | 36 | 45 | 4 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.281
Training Time: 10.73 seconds
Mean Squared Error (MSE): 52.50431734261448
Mean Absolute Error (MAE): 5.369814401986647
Huber Loss: 4.894647121429443
R-squared: -0.044293123637529686
SMAPE: 19.242761031410975


# LSTM Input: (192, 128, 128, 0.146)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 8 | 16 | 28 | 34 | 42 | 4 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.146
Training Time: 10.21 seconds
Mean Squared Error (MSE): 51.21456202188288
Mean Absolute Error (MAE): 5.3456664888226255
Huber Loss: 4.874583721160889
R-squared: -0.011066879670798542
SMAPE: 19.104758861587815


# LSTM Input: (192, 128, 128, 0.914)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 51 | 34 | 33 | 102 | 84 | -5 | 3 |
| Prediction Trend | Up | Up | Up | Up | Up | Down | Down |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.914
Training Time: 12.34 seconds
Mean Squared Error (MSE): 1283.9759725113302
Mean Absolute Error (MAE): 27.75485124677217
Huber Loss: 27.25737953186035
R-squared: -22.655792277805116
SMAPE: 51.04482642951401


# LSTM Input: (192, 128, 128, 0.789)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 2 | 224 | -847 | -713 | 576 | -315 | -65 |
| Prediction Trend | Down | Up | Down | Down | Up | Down | Down |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.789
Training Time: 9.04 seconds
Mean Squared Error (MSE): 259791.30311837644
Mean Absolute Error (MAE): 400.97401061512176
Huber Loss: 400.4748840332031
R-squared: -5179.277860482709
SMAPE: 90.1473631572258


# LSTM Input: (192, 128, 128, 0.664)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 271 | 183 | 137 | 188 | 73 | 66 | -28 |
| Prediction Trend | Up | Up | Up | Up | Up | Up | Down |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.664
Training Time: 8.42 seconds
Mean Squared Error (MSE): 19908.391144281693
Mean Absolute Error (MAE): 117.74472624914988
Huber Loss: 117.24472045898438
R-squared: -484.67280669004725
SMAPE: 76.0892335588861


# LSTM Input: (192, 128, 128, 0.539)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 7 | 20 | 33 | 36 | 42 | 6 | 7 |
| Prediction Trend | Up | Up | Up | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.539
Training Time: 9.39 seconds
Mean Squared Error (MSE): 60.652095197806844
Mean Absolute Error (MAE): 5.7900155085284695
Huber Loss: 5.306416988372803
R-squared: -0.1876978936026941
SMAPE: 20.329400626652497


# LSTM Input: (192, 128, 128, 0.005)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 10 | 16 | 22 | 32 | 41 | 5 | 9 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.005
Training Time: 14.72 seconds
Mean Squared Error (MSE): 51.30135143591435
Mean Absolute Error (MAE): 5.506576062059728
Huber Loss: 5.028321743011475
R-squared: -0.03967606231689453
SMAPE: 19.727330418967043


# LSTM Input: (192, 128, 128, 0.105)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 7 | 17 | 25 | 34 | 42 | 4 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.105
Training Time: 11.72 seconds
Mean Squared Error (MSE): 50.617261279426906
Mean Absolute Error (MAE): 5.308919643869205
Huber Loss: 4.834265232086182
R-squared: -0.011300815828320035
SMAPE: 19.13440597773606


# LSTM Input: (192, 128, 128, 0.975)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 432 | -96 | -151 | -158 | -166 | -37 | -276 |
| Prediction Trend | Up | Down | Down | Down | Down | Down | Down |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.975
Training Time: 10.20 seconds
Mean Squared Error (MSE): 55093.724388867166
Mean Absolute Error (MAE): 205.43611612125318
Huber Loss: 204.93612670898438
R-squared: -2410.7931626766253
SMAPE: 99.45020994815866


# LSTM Input: (192, 128, 128, 0.85)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | -128 | -257 | 18 | -538 | 83 | 2 | 169 |
| Prediction Trend | Down | Down | Down | Down | Up | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.85
Training Time: 9.14 seconds
Mean Squared Error (MSE): 63614.32246596455
Mean Absolute Error (MAE): 170.89900181650304
Huber Loss: 170.4056396484375
R-squared: -1174.7333805716346
SMAPE: 70.14089277873354


# LSTM Input: (192, 128, 128, 0.725)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 45 | 85 | -17 | -8 | 57 | 15 | -19 |
| Prediction Trend | Up | Up | Down | Down | Up | Up | Down |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.725
Training Time: 11.30 seconds
Mean Squared Error (MSE): 1566.2221042912747
Mean Absolute Error (MAE): 34.561477428390866
Huber Loss: 34.06147766113281
R-squared: -35.82120323719129
SMAPE: 73.44988416399988


# LSTM Input: (192, 128, 128, 0.6)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 6 | -23 | 75 | 74 | 36 | 14 | 4 |
| Prediction Trend | Down | Down | Up | Up | Down | Up | Down |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.6
Training Time: 12.30 seconds
Mean Squared Error (MSE): 881.6901593024255
Mean Absolute Error (MAE): 22.33887931359868
Huber Loss: 21.847583770751953
R-squared: -11.679761482099012
SMAPE: 45.56904630855376


# LSTM Input: (192, 128, 128, 0.475)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | -1 | 0 | 17 | 18 | 35 | 3 | 9 |
| Prediction Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.475
Training Time: 13.94 seconds
Mean Squared Error (MSE): 152.19113582187452
Mean Absolute Error (MAE): 9.360901542388055
Huber Loss: 8.875200271606445
R-squared: -1.5678282353629212
SMAPE: 41.93753619992095


# LSTM Input: (192, 128, 128, 0.35)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 11 | 19 | 30 | 31 | 41 | 4 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.35
Training Time: 9.37 seconds
Mean Squared Error (MSE): 55.5920289360156
Mean Absolute Error (MAE): 5.705911612024112
Huber Loss: 5.229490280151367
R-squared: -0.07531826897458879
SMAPE: 19.9737888807999


# LSTM Input: (192, 128, 128, 0.113)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 9 | 17 | 26 | 35 | 43 | 4 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.113
Training Time: 10.83 seconds
Mean Squared Error (MSE): 50.91840158988631
Mean Absolute Error (MAE): 5.326822820974856
Huber Loss: 4.860044002532959
R-squared: -0.011312953282458516
SMAPE: 19.140921722594125


# LSTM Input: (192, 128, 128, 0.02)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 8 | 17 | 26 | 34 | 42 | 4 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.02
Training Time: 32.61 seconds
Mean Squared Error (MSE): 50.286748731802895
Mean Absolute Error (MAE): 5.318581717354911
Huber Loss: 4.843899726867676
R-squared: -0.0005068869172998472
SMAPE: 19.100602440308624


# LSTM Input: (192, 128, 128, 0.983)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 20 | 44 | 49 | 25 | 8 | 8 | 6 |
| Prediction Trend | Up | Up | Up | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.983
Training Time: 14.14 seconds
Mean Squared Error (MSE): 430.0501736790096
Mean Absolute Error (MAE): 16.495666482010666
Huber Loss: 16.0018367767334
R-squared: -7.003941133825491
SMAPE: 39.50922187216664


# LSTM Input: (192, 128, 128, 0.858)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | -123 | -221 | 666 | -222 | -352 | 109 | 50 |
| Prediction Trend | Down | Down | Up | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.858
Training Time: 8.06 seconds
Mean Squared Error (MSE): 105200.71643926563
Mean Absolute Error (MAE): 261.70647104743387
Huber Loss: 261.2064514160156
R-squared: -1673.643140271171
SMAPE: 93.84662529212102


# LSTM Input: (192, 128, 128, 0.733)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 0 | 35 | 37 | 33 | 39 | 5 | 13 |
| Prediction Trend | Down | Up | Up | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.733
Training Time: 12.42 seconds
Mean Squared Error (MSE): 135.99165806249073
Mean Absolute Error (MAE): 8.903792581083824
Huber Loss: 8.416752815246582
R-squared: -1.7523537909934892
SMAPE: 34.51973739568223


# LSTM Input: (192, 128, 128, 0.608)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | -76 | -35 | 55 | 29 | 71 | 18 | -3 |
| Prediction Trend | Down | Down | Up | Down | Up | Up | Down |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.608
Training Time: 9.11 seconds
Mean Squared Error (MSE): 1720.9357997087861
Mean Absolute Error (MAE): 32.45776290593504
Huber Loss: 31.958431243896484
R-squared: -42.895860571329756
SMAPE: 63.46394353037379


# LSTM Input: (192, 128, 128, 0.483)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 10 | 21 | 23 | 33 | 41 | 5 | 7 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.483
Training Time: 10.82 seconds
Mean Squared Error (MSE): 54.767047401535784
Mean Absolute Error (MAE): 5.737474213652059
Huber Loss: 5.25452184677124
R-squared: -0.10003039322858706
SMAPE: 20.367627889988523


# LSTM Input: (192, 128, 128, 0.358)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 17 | 5 | 35 | 30 | 41 | 2 | 10 |
| Prediction Trend | Up | Down | Up | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.358
Training Time: 10.93 seconds
Mean Squared Error (MSE): 96.77368910423516
Mean Absolute Error (MAE): 7.543828125713633
Huber Loss: 7.061346054077148
R-squared: -0.9140660355736505
SMAPE: 26.94334851514345


# LSTM Input: (192, 128, 128, 0.052)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 9 | 17 | 26 | 34 | 42 | 4 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.052
Training Time: 18.76 seconds
Mean Squared Error (MSE): 50.311686562122034
Mean Absolute Error (MAE): 5.330001389088275
Huber Loss: 4.8664422035217285
R-squared: -0.0014878357640511247
SMAPE: 19.11091646881317


# LSTM Input: (192, 128, 128, 0.447)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 20 | 16 | 43 | 0 | 68 | 4 | 13 |
| Prediction Trend | Up | Up | Up | Down | Up | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.447
Training Time: 11.58 seconds
Mean Squared Error (MSE): 380.96914977245075
Mean Absolute Error (MAE): 14.821441085552987
Huber Loss: 14.330491065979004
R-squared: -5.379405094233877
SMAPE: 39.59980550504443


# LSTM Input: (192, 128, 128, 0.322)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 9 | 18 | 25 | 37 | 42 | 5 | 9 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.322
Training Time: 9.62 seconds
Mean Squared Error (MSE): 51.809489797781325
Mean Absolute Error (MAE): 5.381207119039937
Huber Loss: 4.906839847564697
R-squared: -0.02908754499077824
SMAPE: 19.243340804193572


# LSTM Input: (192, 128, 128, 0.197)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 9 | 16 | 25 | 33 | 42 | 4 | 9 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.197
Training Time: 9.58 seconds
Mean Squared Error (MSE): 50.38256237915913
Mean Absolute Error (MAE): 5.347101188841322
Huber Loss: 4.8705291748046875
R-squared: -0.004471712485888275
SMAPE: 19.148899474326143


# LSTM Input: (192, 128, 128, 0.455)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 11 | 13 | 29 | 35 | 41 | 1 | 10 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.455
Training Time: 10.11 seconds
Mean Squared Error (MSE): 56.32843051036695
Mean Absolute Error (MAE): 5.684150944558942
Huber Loss: 5.206610679626465
R-squared: -0.25079670897676126
SMAPE: 21.719452137019815


# LSTM Input: (192, 128, 128, 0.33)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 8 | 18 | 25 | 34 | 42 | 4 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.33
Training Time: 10.42 seconds
Mean Squared Error (MSE): 50.54832274902342
Mean Absolute Error (MAE): 5.3222362962709795
Huber Loss: 4.849834442138672
R-squared: -0.004984365695900423
SMAPE: 19.065131947294237


# LSTM Input: (192, 128, 128, 0.075)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 8 | 16 | 24 | 34 | 42 | 4 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.075
Training Time: 11.58 seconds
Mean Squared Error (MSE): 50.48593073114019
Mean Absolute Error (MAE): 5.32994577268354
Huber Loss: 4.85546350479126
R-squared: -0.003442152025503115
SMAPE: 19.11074261718241


# LSTM Input: (192, 128, 128, 0.151)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 9 | 15 | 23 | 34 | 42 | 4 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.151
Training Time: 9.75 seconds
Mean Squared Error (MSE): 51.32051852234408
Mean Absolute Error (MAE): 5.385139188393444
Huber Loss: 4.909372329711914
R-squared: -0.017415873216141225
SMAPE: 19.340971852462328


# LSTM Input: (192, 128, 128, 0.919)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 108 | -214 | -180 | 269 | 102 | 92 | 70 |
| Prediction Trend | Up | Down | Down | Up | Up | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.919
Training Time: 14.15 seconds
Mean Squared Error (MSE): 25145.704510104923
Mean Absolute Error (MAE): 139.9985125664951
Huber Loss: 139.49850463867188
R-squared: -516.382627372824
SMAPE: 82.33590550245472


# LSTM Input: (192, 128, 128, 0.794)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 302 | -51 | -146 | 1286 | 158 | 103 | -161 |
| Prediction Trend | Up | Down | Down | Up | Up | Up | Down |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.794
Training Time: 8.89 seconds
Mean Squared Error (MSE): 249893.83677913417
Mean Absolute Error (MAE): 310.98070791465085
Huber Loss: 310.480712890625
R-squared: -3573.57730982789
SMAPE: 91.4613340483685


# LSTM Input: (192, 128, 128, 0.669)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 30 | 9 | 26 | 47 | 47 | 4 | 11 |
| Prediction Trend | Up | Down | Down | Up | Up | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.669
Training Time: 10.85 seconds
Mean Squared Error (MSE): 152.51360041313347
Mean Absolute Error (MAE): 8.988949480510893
Huber Loss: 8.506089210510254
R-squared: -2.4559460712631282
SMAPE: 26.251304315565164


# LSTM Input: (192, 128, 128, 0.544)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 61 | 64 | -44 | 136 | 75 | 14 | -1 |
| Prediction Trend | Up | Up | Down | Up | Up | Up | Down |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.544
Training Time: 9.89 seconds
Mean Squared Error (MSE): 3121.592577024218
Mean Absolute Error (MAE): 46.21060552280777
Huber Loss: 45.71060562133789
R-squared: -45.83750261191484
SMAPE: 69.21058411367163


# LSTM Input: (192, 128, 128, 0.159)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 9 | 17 | 25 | 33 | 43 | 4 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.159
Training Time: 10.46 seconds
Mean Squared Error (MSE): 50.67724193400115
Mean Absolute Error (MAE): 5.382491562642207
Huber Loss: 4.906654357910156
R-squared: -0.007428549341045342
SMAPE: 19.25498112456331


# LSTM Input: (192, 128, 128, 0.927)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | -119 | -522 | -2012 | 1047 | 636 | 339 | -261 |
| Prediction Trend | Down | Down | Down | Up | Up | Up | Down |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.927
Training Time: 8.41 seconds
Mean Squared Error (MSE): 861188.9423429888
Mean Absolute Error (MAE): 702.0051909855434
Huber Loss: 701.5051879882812
R-squared: -13077.232890962221
SMAPE: 96.99321293827235


# LSTM Input: (192, 128, 128, 0.802)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | -364 | 336 | -684 | 504 | -381 | -87 | -67 |
| Prediction Trend | Down | Up | Down | Up | Down | Down | Down |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.802
Training Time: 9.31 seconds
Mean Squared Error (MSE): 167034.61441419434
Mean Absolute Error (MAE): 353.45046607815493
Huber Loss: 352.9504699707031
R-squared: -2718.6980418341604
SMAPE: 96.92120287205869


# LSTM Input: (192, 128, 128, 0.677)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 197 | 38 | 24 | -61 | 83 | -17 | -42 |
| Prediction Trend | Up | Up | Down | Down | Up | Down | Down |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.677
Training Time: 9.54 seconds
Mean Squared Error (MSE): 7184.491446109036
Mean Absolute Error (MAE): 61.06676442282541
Huber Loss: 60.56766128540039
R-squared: -215.2899292883324
SMAPE: 69.44817140188097


# LSTM Input: (192, 128, 128, 0.552)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 11 | 18 | 23 | 24 | 49 | 3 | 7 |
| Prediction Trend | Up | Up | Down | Down | Up | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.552
Training Time: 10.61 seconds
Mean Squared Error (MSE): 73.13629862086889
Mean Absolute Error (MAE): 6.375647704212033
Huber Loss: 5.895692825317383
R-squared: -0.36781052101868145
SMAPE: 21.267477419150634


# LSTM Input: (192, 128, 128, 0.034)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 8 | 16 | 26 | 34 | 42 | 4 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.034
Training Time: 20.12 seconds
Mean Squared Error (MSE): 50.307343652625036
Mean Absolute Error (MAE): 5.314555210321129
Huber Loss: 4.8378448486328125
R-squared: -0.0011430206106856871
SMAPE: 19.098279115291994


# LSTM Input: (192, 128, 128, 0.167)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 8 | 18 | 26 | 36 | 43 | 4 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.167
Training Time: 10.23 seconds
Mean Squared Error (MSE): 51.625761677236525
Mean Absolute Error (MAE): 5.3201041586545035
Huber Loss: 4.843653202056885
R-squared: -0.020054737268213545
SMAPE: 19.082660716492946


# LSTM Input: (192, 128, 128, 0.988)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | -173 | 838 | -468 | 326 | -1128 | -305 | -45 |
| Prediction Trend | Down | Up | Down | Up | Down | Down | Down |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.988
Training Time: 8.25 seconds
Mean Squared Error (MSE): 356464.5247270615
Mean Absolute Error (MAE): 472.8544474167078
Huber Loss: 472.35443115234375
R-squared: -8093.258851942737
SMAPE: 96.73328943658616


# LSTM Input: (192, 128, 128, 0.863)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 139 | -105 | 41 | -43 | 127 | 23 | 7 |
| Prediction Trend | Up | Down | Up | Down | Up | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.863
Training Time: 11.20 seconds
Mean Squared Error (MSE): 6550.6119037805565
Mean Absolute Error (MAE): 64.43431866655546
Huber Loss: 63.9379997253418
R-squared: -136.55365193516073
SMAPE: 65.02044611485485


# LSTM Input: (192, 128, 128, 0.738)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 21 | 4 | 72 | 37 | 34 | 0 | 17 |
| Prediction Trend | Up | Down | Up | Down | Down | Down | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.738
Training Time: 9.75 seconds
Mean Squared Error (MSE): 420.5186135046962
Mean Absolute Error (MAE): 14.885322465580336
Huber Loss: 14.387382507324219
R-squared: -6.219887046810835
SMAPE: 46.9934993933684


# LSTM Input: (192, 128, 128, 0.613)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 38 | -2 | 75 | -16 | 33 | 12 | 10 |
| Prediction Trend | Up | Down | Up | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.613
Training Time: 11.54 seconds
Mean Squared Error (MSE): 946.8548730758345
Mean Absolute Error (MAE): 23.949790129856186
Huber Loss: 23.455249786376953
R-squared: -13.269213565080548
SMAPE: 57.096740637319655


# LSTM Input: (192, 128, 128, 0.488)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 8 | 15 | 27 | 33 | 42 | 3 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.488
Training Time: 9.56 seconds
Mean Squared Error (MSE): 51.288738040570585
Mean Absolute Error (MAE): 5.361510976642167
Huber Loss: 4.8899664878845215
R-squared: -0.032179688553261886
SMAPE: 19.394890489195525


# LSTM Input: (192, 128, 128, 0.363)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 9 | 16 | 26 | 42 | 41 | 4 | 9 |
| Prediction Trend | Up | Up | Down | Up | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.363
Training Time: 11.17 seconds
Mean Squared Error (MSE): 59.441653853882904
Mean Absolute Error (MAE): 5.58415412578453
Huber Loss: 5.115047454833984
R-squared: -0.11446872648476734
SMAPE: 19.41457934961868


# LSTM Input: (192, 128, 128, 0.238)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 9 | 17 | 27 | 34 | 43 | 4 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.238
Training Time: 10.77 seconds
Mean Squared Error (MSE): 50.89248437101811
Mean Absolute Error (MAE): 5.3154400708724046
Huber Loss: 4.842336654663086
R-squared: -0.010226445509212765
SMAPE: 19.056921811101972


# LSTM Input: (192, 128, 128, 0.057)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 8 | 17 | 25 | 35 | 42 | 4 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.057
Training Time: 14.43 seconds
Mean Squared Error (MSE): 50.365289559373615
Mean Absolute Error (MAE): 5.315344230658343
Huber Loss: 4.843873500823975
R-squared: -0.002145910389256489
SMAPE: 19.06779496263013


# LSTM Input: (192, 128, 128, 0.996)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 114 | 74 | -11 | 54 | 73 | 31 | 51 |
| Prediction Trend | Up | Up | Down | Up | Up | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.996
Training Time: 10.84 seconds
Mean Squared Error (MSE): 2862.42131469917
Mean Absolute Error (MAE): 45.61972160728611
Huber Loss: 45.119720458984375
R-squared: -101.17245242306247
SMAPE: 64.63061201156663


# LSTM Input: (192, 128, 128, 0.871)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | -22 | 55 | 91 | -15 | 199 | 27 | 18 |
| Prediction Trend | Down | Up | Up | Down | Up | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.871
Training Time: 10.67 seconds
Mean Squared Error (MSE): 4978.716817739364
Mean Absolute Error (MAE): 53.262256268741325
Huber Loss: 52.76225280761719
R-squared: -106.03821717440944
SMAPE: 70.15804740453515


# LSTM Input: (192, 128, 128, 0.746)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | -37 | 90 | 27 | 70 | 30 | 1 | 9 |
| Prediction Trend | Down | Up | Down | Up | Down | Down | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.746
Training Time: 9.81 seconds
Mean Squared Error (MSE): 1331.5902042673686
Mean Absolute Error (MAE): 25.996460773709682
Huber Loss: 25.52239418029785
R-squared: -22.02166192737797
SMAPE: 43.60055796079888


# LSTM Input: (192, 128, 128, 0.621)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 26 | -12 | 6 | 135 | 43 | -4 | 11 |
| Prediction Trend | Up | Down | Down | Up | Down | Down | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.621
Training Time: 12.96 seconds
Mean Squared Error (MSE): 1723.124947765638
Mean Absolute Error (MAE): 26.08240545120369
Huber Loss: 25.589942932128906
R-squared: -20.58424135886472
SMAPE: 56.464204749698474


# LSTM Input: (192, 128, 128, 0.496)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | -11 | -8 | 48 | 84 | 97 | 11 | 18 |
| Prediction Trend | Down | Down | Up | Up | Up | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.496
Training Time: 8.75 seconds
Mean Squared Error (MSE): 1083.1165821956026
Mean Absolute Error (MAE): 26.93905578097519
Huber Loss: 26.439796447753906
R-squared: -19.5371711964379
SMAPE: 57.86272880969453


# LSTM Input: (192, 128, 128, 0.371)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 17 | -3 | 10 | 37 | 27 | 8 | 11 |
| Prediction Trend | Up | Down | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.371
Training Time: 13.36 seconds
Mean Squared Error (MSE): 184.76568030915496
Mean Absolute Error (MAE): 10.71232401757013
Huber Loss: 10.222098350524902
R-squared: -2.531589625401299
SMAPE: 39.30715006626437


# LSTM Input: (192, 128, 128, 0.246)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 8 | 16 | 26 | 31 | 43 | 4 | 7 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.246
Training Time: 9.88 seconds
Mean Squared Error (MSE): 51.82688622741294
Mean Absolute Error (MAE): 5.446029980977376
Huber Loss: 4.965616226196289
R-squared: -0.025480235473864608
SMAPE: 19.445134972191696


# LSTM Input: (192, 128, 128, 0.121)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 9 | 19 | 26 | 34 | 42 | 4 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.121
Training Time: 9.96 seconds
Mean Squared Error (MSE): 51.16569767595781
Mean Absolute Error (MAE): 5.3724740224630665
Huber Loss: 4.8966827392578125
R-squared: -0.012986426752857534
SMAPE: 19.212221309995552


# LSTM Input: (192, 128, 128, 0.46)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | -47 | -90 | 153 | -227 | 30 | 16 | 17 |
| Prediction Trend | Down | Down | Up | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.46
Training Time: 8.32 seconds
Mean Squared Error (MSE): 14197.486209078543
Mean Absolute Error (MAE): 83.28912556414703
Huber Loss: 82.78924560546875
R-squared: -170.31042419000173
SMAPE: 69.38199040238017


# LSTM Input: (192, 128, 128, 0.335)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 8 | 16 | 28 | 36 | 42 | 4 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.335
Training Time: 11.72 seconds
Mean Squared Error (MSE): 51.90278189748086
Mean Absolute Error (MAE): 5.351415774449199
Huber Loss: 4.871347427368164
R-squared: -0.030783146798236318
SMAPE: 19.299185452572797


# LSTM Input: (192, 128, 128, 0.08)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 8 | 17 | 25 | 33 | 42 | 4 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.08
Training Time: 13.04 seconds
Mean Squared Error (MSE): 50.551701465040296
Mean Absolute Error (MAE): 5.34821761465397
Huber Loss: 4.874174118041992
R-squared: -0.004967079007409447
SMAPE: 19.16677250906737


# LSTM Input: (192, 128, 128, 0.468)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 6 | 16 | 29 | 34 | 42 | 6 | 10 |
| Prediction Trend | Down | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.468
Training Time: 14.88 seconds
Mean Squared Error (MSE): 54.43259894230315
Mean Absolute Error (MAE): 5.536807421924307
Huber Loss: 5.05876350402832
R-squared: -0.17289192313287835
SMAPE: 19.935317094979954


# LSTM Input: (192, 128, 128, 0.343)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 7 | 17 | 23 | 33 | 43 | 3 | 8 |
| Prediction Trend | Down | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.343
Training Time: 10.11 seconds
Mean Squared Error (MSE): 51.934722563093665
Mean Absolute Error (MAE): 5.363723894365791
Huber Loss: 4.895821571350098
R-squared: -0.04349043994939196
SMAPE: 19.40064189709795


# LSTM Input: (192, 128, 128, 0.94)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | -1047 | 2386 | 1118 | -1920 | -61 | -376 | -301 |
| Prediction Trend | Down | Up | Up | Down | Down | Down | Down |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.94
Training Time: 8.46 seconds
Mean Squared Error (MSE): 1712173.1972261053
Mean Absolute Error (MAE): 1037.259744644165
Huber Loss: 1036.759765625
R-squared: -27911.71338640425
SMAPE: 99.17284519065036


# LSTM Input: (192, 128, 128, 0.932)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | -386 | -1672 | -359 | -228 | -188 | -387 | 1254 |
| Prediction Trend | Down | Down | Down | Down | Down | Down | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.932
Training Time: 8.64 seconds
Mean Squared Error (MSE): 711562.5115886988
Mean Absolute Error (MAE): 656.6360412649557
Huber Loss: 656.1360473632812
R-squared: -36580.96349806384
SMAPE: 99.815590437723


# LSTM Input: (192, 128, 128, 0.815)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | -38 | 10 | -11 | 34 | 41 | -5 | 12 |
| Prediction Trend | Down | Up | Down | Down | Down | Down | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.815
Training Time: 12.36 seconds
Mean Squared Error (MSE): 560.9922661237624
Mean Absolute Error (MAE): 16.751179363451847
Huber Loss: 16.263437271118164
R-squared: -12.439211638056959
SMAPE: 52.92482172915255


# LSTM Input: (192, 128, 128, 0.807)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | -14 | 13 | 55 | 56 | 51 | 3 | 9 |
| Prediction Trend | Down | Up | Up | Up | Up | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.807
Training Time: 12.76 seconds
Mean Squared Error (MSE): 330.5731860482348
Mean Absolute Error (MAE): 13.570878510977947
Huber Loss: 13.084789276123047
R-squared: -4.437117873151832
SMAPE: 35.65005512663045


# LSTM Input: (192, 128, 128, 0.69)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 8 | 21 | 27 | 31 | 43 | 3 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.69
Training Time: 11.56 seconds
Mean Squared Error (MSE): 55.129565171176246
Mean Absolute Error (MAE): 5.59166390393056
Huber Loss: 5.112359046936035
R-squared: -0.07777832681139207
SMAPE: 19.719913505573828


# LSTM Input: (192, 128, 128, 0.682)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 1651 | -503 | 691 | 53 | 518 | 74 | -135 |
| Prediction Trend | Up | Down | Up | Up | Up | Up | Down |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.682
Training Time: 8.99 seconds
Mean Squared Error (MSE): 522632.04709756386
Mean Absolute Error (MAE): 504.79278680580813
Huber Loss: 504.29278564453125
R-squared: -13175.081621948
SMAPE: 84.26359759059882


# LSTM Input: (192, 128, 128, 0.565)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 36 | 86 | 111 | 129 | 65 | -10 | -4 |
| Prediction Trend | Up | Up | Up | Up | Up | Down | Down |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.565
Training Time: 11.34 seconds
Mean Squared Error (MSE): 3322.643424198333
Mean Absolute Error (MAE): 46.8274412252465
Huber Loss: 46.32744216918945
R-squared: -46.509722701458976
SMAPE: 68.20134613620064


# LSTM Input: (192, 128, 128, 0.557)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | -224 | 51 | 211 | 221 | -36 | -35 | -14 |
| Prediction Trend | Down | Up | Up | Up | Down | Down | Down |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.557
Training Time: 8.81 seconds
Mean Squared Error (MSE): 18969.199990465393
Mean Absolute Error (MAE): 111.12031353736411
Huber Loss: 110.62031555175781
R-squared: -381.1150427041442
SMAPE: 86.48720490948281


# LSTM Input: (192, 128, 128, 0.208)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 8 | 17 | 25 | 36 | 44 | 4 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.208
Training Time: 10.37 seconds
Mean Squared Error (MSE): 51.33418472338291
Mean Absolute Error (MAE): 5.287806602562367
Huber Loss: 4.813839912414551
R-squared: -0.01814052310043444
SMAPE: 19.03867056142192


# LSTM Input: (192, 128, 128, 0.412)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 8 | 19 | 26 | 24 | 45 | 4 | 9 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.412
Training Time: 9.41 seconds
Mean Squared Error (MSE): 65.90285912190292
Mean Absolute Error (MAE): 5.933763767586273
Huber Loss: 5.457456111907959
R-squared: -0.20385791883209237
SMAPE: 20.129541587132895


# LSTM Input: (192, 128, 128, 0.287)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 7 | 16 | 25 | 35 | 43 | 4 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.287
Training Time: 11.69 seconds
Mean Squared Error (MSE): 50.641909454038526
Mean Absolute Error (MAE): 5.296086259439689
Huber Loss: 4.8202128410339355
R-squared: -0.009165597103193646
SMAPE: 19.074180170639515


# LSTM Input: (192, 128, 128, 0.05)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 9 | 17 | 26 | 33 | 42 | 4 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.05
Training Time: 14.94 seconds
Mean Squared Error (MSE): 50.40102190287961
Mean Absolute Error (MAE): 5.352494622574372
Huber Loss: 4.884323596954346
R-squared: -0.0025031616592246903
SMAPE: 19.16813789583608


# LSTM Input: (192, 128, 128, 0.876)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 335 | 136 | 1192 | 291 | 69 | 67 | 181 |
| Prediction Trend | Up | Up | Up | Up | Up | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.876
Training Time: 9.23 seconds
Mean Squared Error (MSE): 218914.84602708154
Mean Absolute Error (MAE): 299.1605936556447
Huber Loss: 298.6606140136719
R-squared: -3162.939188903962
SMAPE: 78.59134886911785


# LSTM Input: (192, 128, 128, 0.751)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | -10 | -12 | -79 | -17 | 99 | 19 | 47 |
| Prediction Trend | Down | Down | Down | Down | Up | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.751
Training Time: 12.94 seconds
Mean Squared Error (MSE): 3144.1097254010747
Mean Absolute Error (MAE): 46.951160385495136
Huber Loss: 46.4511604309082
R-squared: -71.19745610687049
SMAPE: 82.93851732404529


# LSTM Input: (192, 128, 128, 0.626)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 9 | 33 | 39 | 9 | 26 | 7 | 13 |
| Prediction Trend | Up | Up | Up | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.626
Training Time: 11.17 seconds
Mean Squared Error (MSE): 251.2624770930349
Mean Absolute Error (MAE): 12.294116968200322
Huber Loss: 11.805707931518555
R-squared: -3.285066999687598
SMAPE: 33.596941917940796


# LSTM Input: (192, 128, 128, 0.501)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 12 | 20 | 23 | 41 | 41 | 4 | 9 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.501
Training Time: 9.85 seconds
Mean Squared Error (MSE): 62.102972097746616
Mean Absolute Error (MAE): 5.841674083349656
Huber Loss: 5.371438503265381
R-squared: -0.17435249349524776
SMAPE: 20.20791832733495


# LSTM Input: (192, 128, 128, 0.42)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 10 | 16 | 27 | 36 | 40 | 5 | 9 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.42
Training Time: 11.04 seconds
Mean Squared Error (MSE): 52.47980034052022
Mean Absolute Error (MAE): 5.496143572995452
Huber Loss: 5.012491226196289
R-squared: -0.045162228366331894
SMAPE: 19.570294607019772


# LSTM Input: (192, 128, 128, 0.376)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 5 | 21 | 34 | 33 | 43 | 4 | 8 |
| Prediction Trend | Down | Up | Up | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.376
Training Time: 10.68 seconds
Mean Squared Error (MSE): 66.88379692395375
Mean Absolute Error (MAE): 6.012726633727145
Huber Loss: 5.534444808959961
R-squared: -0.22751383716817491
SMAPE: 20.827335275581476


# LSTM Input: (192, 128, 128, 0.295)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 5 | 17 | 25 | 34 | 43 | 4 | 8 |
| Prediction Trend | Down | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.295
Training Time: 9.97 seconds
Mean Squared Error (MSE): 51.89908015754418
Mean Absolute Error (MAE): 5.342915954233026
Huber Loss: 4.869152069091797
R-squared: -0.04523970408367577
SMAPE: 19.47324549443821


# LSTM Input: (192, 128, 128, 0.251)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 11 | 17 | 27 | 34 | 43 | 4 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.251
Training Time: 10.40 seconds
Mean Squared Error (MSE): 51.864437716644964
Mean Absolute Error (MAE): 5.4833437999089565
Huber Loss: 5.006731986999512
R-squared: -0.039058642064830736
SMAPE: 19.692410066924225


# LSTM Input: (192, 128, 128, 0.126)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 7 | 17 | 28 | 35 | 43 | 4 | 8 |
| Prediction Trend | Down | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.126
Training Time: 10.68 seconds
Mean Squared Error (MSE): 51.824750232645215
Mean Absolute Error (MAE): 5.333747118508735
Huber Loss: 4.861227989196777
R-squared: -0.027039649036088242
SMAPE: 19.154697186028077


# LSTM Input: (192, 128, 128, 0.884)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | -2 | 27 | 9 | -22 | 27 | 11 | 1 |
| Prediction Trend | Down | Up | Down | Down | Down | Up | Down |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.884
Training Time: 13.30 seconds
Mean Squared Error (MSE): 621.5185812222054
Mean Absolute Error (MAE): 17.783801087311335
Huber Loss: 17.2872314453125
R-squared: -8.464622524991285
SMAPE: 60.14301734487867


# LSTM Input: (192, 128, 128, 0.759)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 229 | -105 | 216 | 390 | 43 | -63 | -65 |
| Prediction Trend | Up | Down | Up | Up | Down | Down | Down |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.759
Training Time: 11.16 seconds
Mean Squared Error (MSE): 33786.59743495966
Mean Absolute Error (MAE): 147.6515749198239
Huber Loss: 147.15426635742188
R-squared: -651.5923291645507
SMAPE: 80.39644565789898


# LSTM Input: (192, 128, 128, 0.634)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 10 | 10 | 90 | 54 | 133 | 13 | 22 |
| Prediction Trend | Up | Down | Up | Up | Up | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.634
Training Time: 13.69 seconds
Mean Squared Error (MSE): 1940.0542919241138
Mean Absolute Error (MAE): 30.391377238189282
Huber Loss: 29.894397735595703
R-squared: -38.34329286378703
SMAPE: 42.46882693680631


# LSTM Input: (192, 128, 128, 0.509)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | -14 | -30 | 18 | -14 | 16 | -10 | 12 |
| Prediction Trend | Down | Down | Down | Down | Down | Down | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.509
Training Time: 9.03 seconds
Mean Squared Error (MSE): 905.1712141741248
Mean Absolute Error (MAE): 24.540605650467125
Huber Loss: 24.05082130432129
R-squared: -16.12707159395499
SMAPE: 69.78242738286625


# LSTM Input: (192, 128, 128, 0.384)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 5 | 8 | 25 | 28 | 44 | 4 | 8 |
| Prediction Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.384
Training Time: 9.38 seconds
Mean Squared Error (MSE): 69.79662255543643
Mean Absolute Error (MAE): 6.147655009412441
Huber Loss: 5.663672924041748
R-squared: -0.29367991782107794
SMAPE: 22.496326430600845


# LSTM Input: (192, 128, 128, 0.259)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 5 | 16 | 23 | 33 | 44 | 4 | 8 |
| Prediction Trend | Down | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.259
Training Time: 10.87 seconds
Mean Squared Error (MSE): 53.75102991288435
Mean Absolute Error (MAE): 5.430966498900434
Huber Loss: 4.95925235748291
R-squared: -0.07775385674014945
SMAPE: 19.88864344059931


# LSTM Input: (192, 128, 128, 0.134)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 9 | 16 | 26 | 33 | 42 | 4 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.134
Training Time: 10.43 seconds
Mean Squared Error (MSE): 50.5560089326848
Mean Absolute Error (MAE): 5.361852854287542
Huber Loss: 4.891164779663086
R-squared: -0.005032362840282999
SMAPE: 19.24653082861206


# LSTM Input: (192, 128, 128, 0.892)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 984 | -2016 | 1023 | -1645 | -786 | -505 | -191 |
| Prediction Trend | Up | Down | Up | Down | Down | Down | Down |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.892
Training Time: 8.57 seconds
Mean Squared Error (MSE): 1411826.939711542
Mean Absolute Error (MAE): 1031.613648395149
Huber Loss: 1031.1136474609375
R-squared: -25664.098276866916
SMAPE: 99.06767848310002


# LSTM Input: (192, 128, 128, 0.767)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 40 | -41 | 68 | 24 | 47 | 0 | -11 |
| Prediction Trend | Up | Down | Up | Down | Up | Down | Down |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.767
Training Time: 14.36 seconds
Mean Squared Error (MSE): 993.4920932633956
Mean Absolute Error (MAE): 24.6938876559337
Huber Loss: 24.19864845275879
R-squared: -20.200829896905308
SMAPE: 61.288642905654534


# LSTM Input: (192, 128, 128, 0.642)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 97 | -58 | 36 | -45 | 13 | 12 | -37 |
| Prediction Trend | Up | Down | Up | Down | Down | Up | Down |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.642
Training Time: 9.49 seconds
Mean Squared Error (MSE): 3280.1447642939715
Mean Absolute Error (MAE): 47.924147646443366
Huber Loss: 47.42438507080078
R-squared: -91.28215434370735
SMAPE: 73.09676952884914


# LSTM Input: (192, 128, 128, 0.517)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 6 | 10 | 42 | 13 | 41 | 5 | 10 |
| Prediction Trend | Down | Down | Up | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.517
Training Time: 14.64 seconds
Mean Squared Error (MSE): 162.47702420214355
Mean Absolute Error (MAE): 8.863273819287619
Huber Loss: 8.381888389587402
R-squared: -1.3643240052795953
SMAPE: 26.64364927746844


# LSTM Input: (192, 128, 128, 0.392)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 6 | 20 | 22 | 43 | 44 | 0 | 7 |
| Prediction Trend | Down | Up | Down | Up | Down | Down | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.392
Training Time: 12.62 seconds
Mean Squared Error (MSE): 68.848922815917
Mean Absolute Error (MAE): 6.0513685496688705
Huber Loss: 5.571197509765625
R-squared: -0.49221400252955216
SMAPE: 26.1193048676296


# LSTM Input: (192, 128, 128, 0.267)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 7 | 15 | 23 | 36 | 43 | 4 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.267
Training Time: 10.40 seconds
Mean Squared Error (MSE): 51.85997414923737
Mean Absolute Error (MAE): 5.331586399045931
Huber Loss: 4.8552703857421875
R-squared: -0.029336367571844386
SMAPE: 19.24982274872838


# LSTM Input: (192, 128, 128, 0.945)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 11 | 18 | 19 | 34 | 47 | 6 | 8 |
| Prediction Trend | Up | Up | Down | Down | Up | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.945
Training Time: 15.50 seconds
Mean Squared Error (MSE): 60.94399064527787
Mean Absolute Error (MAE): 5.870638073707114
Huber Loss: 5.3897881507873535
R-squared: -0.20954402543686976
SMAPE: 20.61167464493702


# LSTM Input: (192, 128, 128, 0.82)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | -106 | -123 | -15 | 13 | -120 | -21 | 92 |
| Prediction Trend | Down | Down | Down | Down | Down | Down | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.82
Training Time: 8.90 seconds
Mean Squared Error (MSE): 9605.22805328124
Mean Absolute Error (MAE): 84.74474507529719
Huber Loss: 84.24488830566406
R-squared: -287.3891590475496
SMAPE: 93.53907246773862


# LSTM Input: (192, 128, 128, 0.695)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 119 | -72 | 23 | 77 | -73 | 20 | 18 |
| Prediction Trend | Up | Down | Down | Up | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.695
Training Time: 9.41 seconds
Mean Squared Error (MSE): 5073.344437087993
Mean Absolute Error (MAE): 55.498176688239695
Huber Loss: 55.00008010864258
R-squared: -114.33790208655282
SMAPE: 64.24911335819537


# LSTM Input: (192, 128, 128, 0.57)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | -1 | 12 | 15 | 34 | 49 | 6 | 7 |
| Prediction Trend | Down | Up | Down | Down | Up | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.57
Training Time: 10.95 seconds
Mean Squared Error (MSE): 86.94428730631408
Mean Absolute Error (MAE): 6.952346252644953
Huber Loss: 6.467264652252197
R-squared: -0.7510278101841346
SMAPE: 31.893189966940984


# LSTM Input: (192, 128, 128, 0.213)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 8 | 16 | 26 | 34 | 42 | 4 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.213
Training Time: 9.63 seconds
Mean Squared Error (MSE): 50.44095709124968
Mean Absolute Error (MAE): 5.298618411531253
Huber Loss: 4.830533504486084
R-squared: -0.0048547486260632445
SMAPE: 19.040527349557255


# LSTM Input: (192, 128, 128, 0.088)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 9 | 16 | 24 | 33 | 41 | 4 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.088
Training Time: 12.26 seconds
Mean Squared Error (MSE): 50.63301182434403
Mean Absolute Error (MAE): 5.389851253048903
Huber Loss: 4.914844512939453
R-squared: -0.006069577321579057
SMAPE: 19.25159010668662


# LSTM Input: (192, 128, 128, 0.953)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 503 | 2168 | 1195 | 2139 | 1453 | 78 | -103 |
| Prediction Trend | Up | Up | Up | Up | Up | Up | Down |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.953
Training Time: 9.06 seconds
Mean Squared Error (MSE): 1805235.5614348447
Mean Absolute Error (MAE): 1072.5348853026928
Huber Loss: 1072.034912109375
R-squared: -25878.616547785812
SMAPE: 96.06054451745166


# LSTM Input: (192, 128, 128, 0.828)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 60 | -8 | -66 | 82 | 22 | -14 | -13 |
| Prediction Trend | Up | Down | Down | Up | Down | Down | Down |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.828
Training Time: 10.22 seconds
Mean Squared Error (MSE): 2196.793165838271
Mean Absolute Error (MAE): 39.057154520028305
Huber Loss: 38.557151794433594
R-squared: -42.747625261627
SMAPE: 78.36154527105053


# LSTM Input: (192, 128, 128, 0.703)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | -205 | 127 | -22 | -158 | -7 | -8 | -44 |
| Prediction Trend | Down | Up | Down | Down | Down | Down | Down |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.703
Training Time: 9.34 seconds
Mean Squared Error (MSE): 14623.66491622936
Mean Absolute Error (MAE): 96.69777329924966
Huber Loss: 96.19776916503906
R-squared: -325.52562627011855
SMAPE: 96.78633718312032


# LSTM Input: (192, 128, 128, 0.578)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | -15 | 24 | 10 | 36 | 28 | 4 | 7 |
| Prediction Trend | Down | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.578
Training Time: 11.27 seconds
Mean Squared Error (MSE): 200.12762743726435
Mean Absolute Error (MAE): 10.895885285066099
Huber Loss: 10.405679702758789
R-squared: -3.3554658611475436
SMAPE: 35.7726803231496


# LSTM Input: (192, 128, 128, 0.221)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 9 | 16 | 24 | 34 | 44 | 4 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.221
Training Time: 9.58 seconds
Mean Squared Error (MSE): 51.04296134419974
Mean Absolute Error (MAE): 5.339577361029022
Huber Loss: 4.867437839508057
R-squared: -0.014928084869695388
SMAPE: 19.184282781054947


# LSTM Input: (192, 128, 128, 0.096)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 9 | 17 | 25 | 32 | 42 | 4 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.096
Training Time: 10.82 seconds
Mean Squared Error (MSE): 50.84483295208899
Mean Absolute Error (MAE): 5.412321510769071
Huber Loss: 4.937607288360596
R-squared: -0.00878122780730996
SMAPE: 19.305389474764855


# LSTM Input: (192, 128, 128, 0.961)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | -80 | 1 | 203 | 192 | 81 | -3 | 30 |
| Prediction Trend | Down | Down | Up | Up | Up | Down | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.961
Training Time: 11.92 seconds
Mean Squared Error (MSE): 9563.159955186862
Mean Absolute Error (MAE): 72.61142611300865
Huber Loss: 72.11143493652344
R-squared: -133.2687699586826
SMAPE: 75.67499917292304


# LSTM Input: (192, 128, 128, 0.836)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 19 | 4 | 96 | 32 | 70 | 3 | 20 |
| Prediction Trend | Up | Down | Up | Down | Up | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.836
Training Time: 11.93 seconds
Mean Squared Error (MSE): 949.1262479790634
Mean Absolute Error (MAE): 20.914786417468065
Huber Loss: 20.424222946166992
R-squared: -13.59882820971832
SMAPE: 39.91728399290725


# LSTM Input: (192, 128, 128, 0.711)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 17 | 26 | 21 | 43 | 44 | -2 | 11 |
| Prediction Trend | Up | Up | Down | Up | Down | Down | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.711
Training Time: 12.46 seconds
Mean Squared Error (MSE): 93.3323005889001
Mean Absolute Error (MAE): 7.5725850754854624
Huber Loss: 7.088892459869385
R-squared: -1.3963719812564832
SMAPE: 32.75338936264987


# LSTM Input: (192, 128, 128, 0.586)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | -34 | -35 | 43 | 69 | 51 | 32 | 16 |
| Prediction Trend | Down | Down | Up | Up | Up | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.586
Training Time: 9.77 seconds
Mean Squared Error (MSE): 1035.6072290771506
Mean Absolute Error (MAE): 27.3564713082346
Huber Loss: 26.85647201538086
R-squared: -30.355605875359057
SMAPE: 55.31916786149028


# LSTM Input: (192, 128, 128, 0.425)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | -4 | 29 | 11 | 41 | 81 | 0 | 5 |
| Prediction Trend | Down | Up | Down | Down | Up | Down | Down |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.425
Training Time: 9.78 seconds
Mean Squared Error (MSE): 352.09754675588874
Mean Absolute Error (MAE): 13.831502440328501
Huber Loss: 13.342676162719727
R-squared: -6.702278657400362
SMAPE: 48.975848424716226


# LSTM Input: (192, 128, 128, 0.3)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 9 | 15 | 26 | 33 | 41 | 5 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.3
Training Time: 10.26 seconds
Mean Squared Error (MSE): 51.31640211207425
Mean Absolute Error (MAE): 5.458482908553818
Huber Loss: 4.987071990966797
R-squared: -0.034989280293267866
SMAPE: 19.569232555356773


# LSTM Input: (192, 128, 128, 0.175)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 9 | 18 | 27 | 34 | 43 | 4 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.175
Training Time: 10.33 seconds
Mean Squared Error (MSE): 51.130157235108136
Mean Absolute Error (MAE): 5.369061212961365
Huber Loss: 4.900832653045654
R-squared: -0.014436024606748088
SMAPE: 19.243388125893013


# LSTM Input: (192, 128, 128, 0.01)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 7 | 14 | 26 | 34 | 41 | 5 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.01
Training Time: 15.80 seconds
Mean Squared Error (MSE): 50.80130307601505
Mean Absolute Error (MAE): 5.350807800584911
Huber Loss: 4.877425193786621
R-squared: -0.010914086351463261
SMAPE: 19.191253100975995


# LSTM Input: (192, 128, 128, 0.026)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 8 | 17 | 26 | 34 | 42 | 4 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.026
Training Time: 26.32 seconds
Mean Squared Error (MSE): 50.29430013308896
Mean Absolute Error (MAE): 5.315762445229252
Huber Loss: 4.839900016784668
R-squared: -0.0006741648585965836
SMAPE: 19.095971619066184


# LSTM Input: (192, 128, 128, 0.433)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 8 | 17 | 20 | 30 | 45 | 2 | 7 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.433
Training Time: 12.73 seconds
Mean Squared Error (MSE): 57.670267538157724
Mean Absolute Error (MAE): 5.716243627525512
Huber Loss: 5.233473300933838
R-squared: -0.19686557424474976
SMAPE: 21.070575148247986


# LSTM Input: (192, 128, 128, 0.308)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 15 | 13 | 27 | 26 | 55 | 4 | 7 |
| Prediction Trend | Up | Up | Down | Down | Up | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.308
Training Time: 9.99 seconds
Mean Squared Error (MSE): 94.15040467978079
Mean Absolute Error (MAE): 7.516517033382338
Huber Loss: 7.02932071685791
R-squared: -0.9016693364544665
SMAPE: 23.08496402950161


# LSTM Input: (192, 128, 128, 0.183)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 8 | 18 | 26 | 34 | 43 | 4 | 9 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.183
Training Time: 10.00 seconds
Mean Squared Error (MSE): 50.9430470996643
Mean Absolute Error (MAE): 5.332194980309935
Huber Loss: 4.8565192222595215
R-squared: -0.01664926010375724
SMAPE: 19.11010847992052


# LSTM Input: (192, 128, 128, 0.897)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | -1540 | 522 | -203 | 3900 | 213 | -202 | 1124 |
| Prediction Trend | Down | Up | Down | Up | Up | Down | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.897
Training Time: 8.38 seconds
Mean Squared Error (MSE): 2708577.365900781
Mean Absolute Error (MAE): 1090.9540840200827
Huber Loss: 1090.4541015625
R-squared: -55808.002631020165
SMAPE: 93.96172080100497


# LSTM Input: (192, 128, 128, 0.772)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 9 | 14 | 19 | 46 | 33 | 6 | 7 |
| Prediction Trend | Up | Up | Down | Up | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.772
Training Time: 15.18 seconds
Mean Squared Error (MSE): 90.2274624819705
Mean Absolute Error (MAE): 7.0630885759989415
Huber Loss: 6.576831817626953
R-squared: -0.6388520068182342
SMAPE: 22.377576480616156


# LSTM Input: (192, 128, 128, 0.647)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | -617 | -771 | -367 | -648 | -695 | 159 | 136 |
| Prediction Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.647
Training Time: 9.31 seconds
Mean Squared Error (MSE): 315471.7460494858
Mean Absolute Error (MAE): 500.3141193000638
Huber Loss: 499.8141174316406
R-squared: -6203.244739553683
SMAPE: 97.67276557818927


# LSTM Input: (192, 128, 128, 0.522)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 2 | 3 | 19 | 40 | 42 | 3 | 10 |
| Prediction Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.522
Training Time: 10.00 seconds
Mean Squared Error (MSE): 97.87505350748525
Mean Absolute Error (MAE): 7.126421667686125
Huber Loss: 6.647390365600586
R-squared: -0.8042853819822179
SMAPE: 30.845475933356486


# LSTM Input: (192, 128, 128, 0.397)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 10 | 12 | 23 | 30 | 47 | 4 | 8 |
| Prediction Trend | Up | Up | Down | Down | Up | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.397
Training Time: 11.06 seconds
Mean Squared Error (MSE): 60.49637492632893
Mean Absolute Error (MAE): 5.817093667124405
Huber Loss: 5.337703227996826
R-squared: -0.18170092527995418
SMAPE: 20.33851371795068


# LSTM Input: (192, 128, 128, 0.272)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 10 | 16 | 24 | 32 | 40 | 4 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.272
Training Time: 10.37 seconds
Mean Squared Error (MSE): 51.76836424852376
Mean Absolute Error (MAE): 5.52411315960138
Huber Loss: 5.0447258949279785
R-squared: -0.02456177754173851
SMAPE: 19.561056818589574


# LSTM Input: (192, 128, 128, 0.017)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 9 | 18 | 27 | 37 | 45 | 5 | 9 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.017
Training Time: 27.45 seconds
Mean Squared Error (MSE): 49.93603144114967
Mean Absolute Error (MAE): 5.307286331037275
Huber Loss: 4.832306861877441
R-squared: 0.005187707871457582
SMAPE: 19.08187462924306


# LSTM Input: (192, 128, 128, 0.905)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | -1540 | -2549 | -2600 | 889 | 1574 | -197 | 42 |
| Prediction Trend | Down | Down | Down | Up | Up | Down | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.905
Training Time: 8.35 seconds
Mean Squared Error (MSE): 2713913.3225471578
Mean Absolute Error (MAE): 1337.5841868718464
Huber Loss: 1337.084228515625
R-squared: -42924.65555406817
SMAPE: 93.654282639572


# LSTM Input: (192, 128, 128, 0.78)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 1764 | -1073 | -2222 | -1927 | 927 | -231 | 34 |
| Prediction Trend | Up | Down | Down | Down | Up | Down | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.78
Training Time: 8.56 seconds
Mean Squared Error (MSE): 2002278.6464421155
Mean Absolute Error (MAE): 1171.74304565767
Huber Loss: 1171.2430419921875
R-squared: -32050.231944801042
SMAPE: 93.20326220853516


# LSTM Input: (192, 128, 128, 0.655)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 22 | 26 | 30 | 14 | 30 | 10 | 5 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Down |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.655
Training Time: 10.66 seconds
Mean Squared Error (MSE): 180.6736072336433
Mean Absolute Error (MAE): 10.962505630084447
Huber Loss: 10.473926544189453
R-squared: -2.922110856286452
SMAPE: 32.847053229593925


# LSTM Input: (192, 128, 128, 0.53)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 6 | 30 | 26 | 68 | 74 | 12 | 15 |
| Prediction Trend | Down | Up | Down | Up | Up | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.53
Training Time: 11.07 seconds
Mean Squared Error (MSE): 404.1871917029526
Mean Absolute Error (MAE): 15.302920103073122
Huber Loss: 14.810941696166992
R-squared: -7.335763297049274
SMAPE: 32.3933033615865


# LSTM Input: (192, 128, 128, 0.405)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 7 | 13 | 22 | 36 | 46 | 5 | 8 |
| Prediction Trend | Up | Up | Down | Down | Up | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.405
Training Time: 10.76 seconds
Mean Squared Error (MSE): 56.774062956372816
Mean Absolute Error (MAE): 5.510174525838319
Huber Loss: 5.034506797790527
R-squared: -0.1260602192170676
SMAPE: 19.73150777317869


# LSTM Input: (192, 128, 128, 0.28)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 8 | 17 | 25 | 35 | 42 | 4 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.28
Training Time: 10.99 seconds
Mean Squared Error (MSE): 50.48122249890888
Mean Absolute Error (MAE): 5.339262715002306
Huber Loss: 4.861295223236084
R-squared: -0.007615416376141778
SMAPE: 19.19908679354272


# LSTM Input: (192, 128, 128, 0.226)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 8 | 15 | 25 | 35 | 41 | 5 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.226
Training Time: 9.68 seconds
Mean Squared Error (MSE): 50.935141625702144
Mean Absolute Error (MAE): 5.342281756757878
Huber Loss: 4.863668918609619
R-squared: -0.01723586356854085
SMAPE: 19.22554225075213


# LSTM Input: (192, 128, 128, 0.145)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 9 | 17 | 26 | 33 | 42 | 4 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.145
Training Time: 10.74 seconds
Mean Squared Error (MSE): 50.50519302115178
Mean Absolute Error (MAE): 5.393080215875794
Huber Loss: 4.917381763458252
R-squared: -0.005067806178742584
SMAPE: 19.297962571713455


# LSTM Input: (192, 128, 128, 0.101)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 9 | 18 | 26 | 34 | 42 | 4 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.101
Training Time: 10.55 seconds
Mean Squared Error (MSE): 50.57456694865762
Mean Absolute Error (MAE): 5.375604133216703
Huber Loss: 4.900460243225098
R-squared: -0.00731637722079191
SMAPE: 19.253066263343584


# LSTM Input: (192, 128, 128, 0.04)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 9 | 17 | 26 | 34 | 42 | 4 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.04
Training Time: 21.11 seconds
Mean Squared Error (MSE): 50.3683987530874
Mean Absolute Error (MAE): 5.330320442614912
Huber Loss: 4.858364582061768
R-squared: -0.001494943917175354
SMAPE: 19.115238535047347


# LSTM Input: (192, 128, 128, 0.966)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 2467 | 713 | -567 | 1910 | -769 | 824 | -290 |
| Prediction Trend | Up | Up | Down | Up | Down | Up | Down |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.966
Training Time: 8.58 seconds
Mean Squared Error (MSE): 1688608.3756768617
Mean Absolute Error (MAE): 1078.996654899753
Huber Loss: 1078.4967041015625
R-squared: -47026.25714268357
SMAPE: 98.61478307146326


# LSTM Input: (192, 128, 128, 0.841)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | -306 | 247 | 174 | 113 | 271 | -119 | 262 |
| Prediction Trend | Down | Up | Up | Up | Up | Down | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.841
Training Time: 8.41 seconds
Mean Squared Error (MSE): 44702.13031350064
Mean Absolute Error (MAE): 197.0891100435841
Huber Loss: 196.58909606933594
R-squared: -2105.732922238851
SMAPE: 83.49260700648564


# LSTM Input: (192, 128, 128, 0.716)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | -268 | 214 | -319 | 3 | -146 | 54 | -3 |
| Prediction Trend | Down | Up | Down | Down | Down | Up | Down |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.716
Training Time: 9.40 seconds
Mean Squared Error (MSE): 39019.186715281736
Mean Absolute Error (MAE): 156.8615333855558
Huber Loss: 156.3615264892578
R-squared: -729.0291651777767
SMAPE: 93.26210288751929


# LSTM Input: (192, 128, 128, 0.591)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 464 | 59 | -105 | -472 | 237 | 27 | 55 |
| Prediction Trend | Up | Up | Down | Down | Up | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.591
Training Time: 8.87 seconds
Mean Squared Error (MSE): 74789.95544103128
Mean Absolute Error (MAE): 199.88072357696737
Huber Loss: 199.38072204589844
R-squared: -1425.3428741638093
SMAPE: 81.96871678773425


# LSTM Input: (192, 128, 128, 0.234)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 7 | 16 | 25 | 36 | 43 | 4 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.234
Training Time: 9.63 seconds
Mean Squared Error (MSE): 51.267988987576054
Mean Absolute Error (MAE): 5.282515287399291
Huber Loss: 4.809136390686035
R-squared: -0.0193950204834284
SMAPE: 19.01780492823784


# LSTM Input: (192, 128, 128, 0.104)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 8 | 15 | 25 | 33 | 42 | 4 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.104
Training Time: 11.79 seconds
Mean Squared Error (MSE): 50.6260508206192
Mean Absolute Error (MAE): 5.337370510814952
Huber Loss: 4.863109588623047
R-squared: -0.006570373389952541
SMAPE: 19.163514145822155


# LSTM Input: (192, 128, 128, 0.974)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 147 | 15 | 60 | -195 | 66 | -53 | 6 |
| Prediction Trend | Up | Up | Up | Down | Up | Down | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.974
Training Time: 11.66 seconds
Mean Squared Error (MSE): 11019.4404661821
Mean Absolute Error (MAE): 70.60127454387899
Huber Loss: 70.10609436035156
R-squared: -222.66393346365518
SMAPE: 57.035014428459505


# LSTM Input: (192, 128, 128, 0.849)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | -392 | -645 | -1052 | 345 | 944 | 684 | -265 |
| Prediction Trend | Down | Down | Down | Up | Up | Up | Down |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.849
Training Time: 8.77 seconds
Mean Squared Error (MSE): 458174.2769248887
Mean Absolute Error (MAE): 615.0801142997482
Huber Loss: 614.5801391601562
R-squared: -15746.007201259314
SMAPE: 96.05872632309068


# LSTM Input: (192, 128, 128, 0.724)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 92 | 37 | 42 | -11 | 49 | 12 | 31 |
| Prediction Trend | Up | Up | Up | Down | Up | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.724
Training Time: 11.75 seconds
Mean Squared Error (MSE): 1537.8678587575062
Mean Absolute Error (MAE): 29.253570131704116
Huber Loss: 28.759428024291992
R-squared: -43.07862561533119
SMAPE: 53.39001630619179


# LSTM Input: (192, 128, 128, 0.599)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 22 | -4 | 20 | 10 | 59 | 9 | 4 |
| Prediction Trend | Up | Down | Down | Down | Up | Up | Down |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.599
Training Time: 12.85 seconds
Mean Squared Error (MSE): 276.3121658871386
Mean Absolute Error (MAE): 13.555420088119247
Huber Loss: 13.06128215789795
R-squared: -4.224759934642536
SMAPE: 45.1173843828402


# LSTM Input: (192, 128, 128, 0.474)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 23 | 62 | -9 | 8 | 40 | 11 | 0 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Down |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.474
Training Time: 10.65 seconds
Mean Squared Error (MSE): 663.1424220829255
Mean Absolute Error (MAE): 20.23506213167087
Huber Loss: 19.736478805541992
R-squared: -9.957434011075863
SMAPE: 60.965707512827336


# LSTM Input: (192, 128, 128, 0.349)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 7 | 18 | 24 | 32 | 43 | 4 | 9 |
| Prediction Trend | Down | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.349
Training Time: 10.20 seconds
Mean Squared Error (MSE): 52.067716822532894
Mean Absolute Error (MAE): 5.385379009506329
Huber Loss: 4.915003299713135
R-squared: -0.05181562095855753
SMAPE: 19.228058426486548


# LSTM Input: (192, 128, 128, 0.438)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 6 | 15 | 25 | 34 | 43 | 4 | 8 |
| Prediction Trend | Down | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.438
Training Time: 11.98 seconds
Mean Squared Error (MSE): 51.8231535160509
Mean Absolute Error (MAE): 5.346170121309709
Huber Loss: 4.870942115783691
R-squared: -0.04310659020604308
SMAPE: 19.476654651876824


# LSTM Input: (192, 128, 128, 0.313)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 6 | 17 | 26 | 35 | 43 | 4 | 8 |
| Prediction Trend | Down | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.313
Training Time: 10.05 seconds
Mean Squared Error (MSE): 51.81974335653262
Mean Absolute Error (MAE): 5.324122482011107
Huber Loss: 4.847705841064453
R-squared: -0.04539734282725949
SMAPE: 19.45752582410349


# LSTM Input: (192, 128, 128, 0.188)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 7 | 16 | 25 | 36 | 43 | 4 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.188
Training Time: 9.87 seconds
Mean Squared Error (MSE): 51.467722246573885
Mean Absolute Error (MAE): 5.292945987513277
Huber Loss: 4.8142781257629395
R-squared: -0.018867604946210998
SMAPE: 19.05322401676871


# LSTM Input: (192, 128, 128, 0.063)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 9 | 16 | 25 | 34 | 42 | 4 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.063
Training Time: 12.67 seconds
Mean Squared Error (MSE): 50.334876582308645
Mean Absolute Error (MAE): 5.340976207029252
Huber Loss: 4.871373653411865
R-squared: -0.003144138696190124
SMAPE: 19.173987161256935


# LSTM Input: (192, 128, 128, 0.446)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 10 | 16 | 21 | 28 | 44 | 5 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.446
Training Time: 11.01 seconds
Mean Squared Error (MSE): 59.42945063837573
Mean Absolute Error (MAE): 5.828746471275279
Huber Loss: 5.348421573638916
R-squared: -0.11328939267166116
SMAPE: 20.273787913216868


# LSTM Input: (192, 128, 128, 0.321)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 10 | 17 | 27 | 38 | 40 | 3 | 10 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.321
Training Time: 11.50 seconds
Mean Squared Error (MSE): 68.92122704985357
Mean Absolute Error (MAE): 6.111369616369445
Huber Loss: 5.632598400115967
R-squared: -0.3832282084192519
SMAPE: 24.7460112687717


# LSTM Input: (192, 128, 128, 0.196)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 9 | 15 | 24 | 35 | 43 | 4 | 7 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.196
Training Time: 9.69 seconds
Mean Squared Error (MSE): 51.42157438509643
Mean Absolute Error (MAE): 5.374933949944114
Huber Loss: 4.894186973571777
R-squared: -0.02541902805005033
SMAPE: 19.4492314329245


# LSTM Input: (192, 128, 128, 0.91)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 1211 | -1485 | 1160 | 1700 | 1176 | 389 | 435 |
| Prediction Trend | Up | Down | Up | Up | Up | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.91
Training Time: 9.88 seconds
Mean Squared Error (MSE): 1342134.7762512672
Mean Absolute Error (MAE): 1065.1012367715641
Huber Loss: 1064.6011962890625
R-squared: -26597.64477645404
SMAPE: 96.82476426244519


# LSTM Input: (192, 128, 128, 0.785)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | -1178 | 2202 | -387 | 1673 | -226 | 241 | -35 |
| Prediction Trend | Down | Up | Down | Up | Down | Up | Down |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.785
Training Time: 8.93 seconds
Mean Squared Error (MSE): 1291406.4015293557
Mean Absolute Error (MAE): 844.3616126573006
Huber Loss: 843.8616333007812
R-squared: -20802.454706035267
SMAPE: 98.72847062509463


# LSTM Input: (192, 128, 128, 0.66)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 28 | -15 | 9 | 27 | 55 | 0 | 6 |
| Prediction Trend | Up | Down | Down | Down | Up | Down | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.66
Training Time: 11.93 seconds
Mean Squared Error (MSE): 318.96484532137583
Mean Absolute Error (MAE): 14.007655945663547
Huber Loss: 13.515758514404297
R-squared: -4.9173120392466085
SMAPE: 46.043030158605774


# LSTM Input: (192, 128, 128, 0.535)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | -44 | -29 | 60 | 90 | 46 | 11 | 5 |
| Prediction Trend | Down | Down | Up | Up | Up | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.535
Training Time: 9.22 seconds
Mean Squared Error (MSE): 1378.4124947458208
Mean Absolute Error (MAE): 29.353615837032294
Huber Loss: 28.864919662475586
R-squared: -23.163448030744597
SMAPE: 53.04335654246734


# LSTM Input: (192, 128, 128, 0.15)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 8 | 16 | 25 | 34 | 42 | 5 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.15
Training Time: 9.86 seconds
Mean Squared Error (MSE): 50.36951766226116
Mean Absolute Error (MAE): 5.333349008138488
Huber Loss: 4.858018398284912
R-squared: -0.005605982806735442
SMAPE: 19.17232735943973


# LSTM Input: (192, 128, 128, 0.918)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 255 | -491 | -306 | -631 | -223 | 103 | -56 |
| Prediction Trend | Up | Down | Down | Down | Down | Up | Down |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.918
Training Time: 11.61 seconds
Mean Squared Error (MSE): 136436.86316621047
Mean Absolute Error (MAE): 311.1037201524592
Huber Loss: 310.6037292480469
R-squared: -2091.330070370666
SMAPE: 97.98892619942379


# LSTM Input: (192, 128, 128, 0.793)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 50 | 155 | 84 | -7 | 24 | -34 | -16 |
| Prediction Trend | Up | Up | Up | Down | Down | Down | Down |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.793
Training Time: 11.90 seconds
Mean Squared Error (MSE): 4126.673667479211
Mean Absolute Error (MAE): 51.497400211639146
Huber Loss: 50.998870849609375
R-squared: -91.85045153846296
SMAPE: 76.41283371955049


# LSTM Input: (192, 128, 128, 0.668)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | -3 | 5 | 12 | 54 | 50 | 2 | 9 |
| Prediction Trend | Down | Down | Down | Up | Up | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.668
Training Time: 13.14 seconds
Mean Squared Error (MSE): 177.05286001203314
Mean Absolute Error (MAE): 9.996404031101537
Huber Loss: 9.51294994354248
R-squared: -2.006374746266705
SMAPE: 38.85564720283329


# LSTM Input: (192, 128, 128, 0.543)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 7 | 19 | 23 | 28 | 50 | 5 | 8 |
| Prediction Trend | Up | Up | Down | Down | Up | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.543
Training Time: 14.95 seconds
Mean Squared Error (MSE): 67.87716326249873
Mean Absolute Error (MAE): 6.155236346381051
Huber Loss: 5.684207439422607
R-squared: -0.31919868204735197
SMAPE: 20.332753842201377


# LSTM Input: (192, 128, 128, 0.158)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 8 | 16 | 25 | 34 | 44 | 4 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.158
Training Time: 10.28 seconds
Mean Squared Error (MSE): 50.85337268274693
Mean Absolute Error (MAE): 5.300742758374635
Huber Loss: 4.828606605529785
R-squared: -0.013715154585789329
SMAPE: 19.06971931937941


# LSTM Input: (192, 128, 128, 0.033)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 9 | 17 | 25 | 34 | 42 | 4 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.033
Training Time: 25.90 seconds
Mean Squared Error (MSE): 50.298404310668865
Mean Absolute Error (MAE): 5.336079240656224
Huber Loss: 4.859555244445801
R-squared: -0.0007336283138371488
SMAPE: 19.144377845325934


# LSTM Input: (192, 128, 128, 0.979)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | -81 | 3379 | 195 | -516 | 686 | 230 | -52 |
| Prediction Trend | Down | Up | Up | Down | Up | Up | Down |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.979
Training Time: 8.95 seconds
Mean Squared Error (MSE): 1741882.1064023187
Mean Absolute Error (MAE): 730.8147518715892
Huber Loss: 730.3147583007812
R-squared: -25930.74141536972
SMAPE: 94.46604449364024


# LSTM Input: (192, 128, 128, 0.854)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | -195 | 1332 | 1056 | -1037 | 391 | -162 | 228 |
| Prediction Trend | Down | Up | Up | Down | Up | Down | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.854
Training Time: 8.68 seconds
Mean Squared Error (MSE): 588841.824965005
Mean Absolute Error (MAE): 614.4962269270501
Huber Loss: 613.9962158203125
R-squared: -8653.017925171507
SMAPE: 95.18281670073209


# LSTM Input: (192, 128, 128, 0.729)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 352 | 264 | -178 | 393 | 33 | 3 | 88 |
| Prediction Trend | Up | Up | Down | Up | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.729
Training Time: 9.30 seconds
Mean Squared Error (MSE): 50916.892287580085
Mean Absolute Error (MAE): 177.98278364275583
Huber Loss: 177.48797607421875
R-squared: -972.4049953652524
SMAPE: 70.74968052067622


# LSTM Input: (192, 128, 128, 0.604)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | -3 | 84 | -20 | -72 | 25 | 16 | -4 |
| Prediction Trend | Down | Up | Down | Down | Down | Up | Down |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.604
Training Time: 9.99 seconds
Mean Squared Error (MSE): 2688.5392874431604
Mean Absolute Error (MAE): 38.68011251233873
Huber Loss: 38.18174362182617
R-squared: -36.25226513561669
SMAPE: 79.23700080030268


# LSTM Input: (192, 128, 128, 0.479)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 6 | 21 | 17 | 31 | 44 | 4 | 9 |
| Prediction Trend | Down | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.479
Training Time: 11.44 seconds
Mean Squared Error (MSE): 63.81290359131553
Mean Absolute Error (MAE): 5.882715808291013
Huber Loss: 5.412814617156982
R-squared: -0.1849244060103902
SMAPE: 20.423460814694106


# LSTM Input: (192, 128, 128, 0.354)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 5 | 19 | 23 | 33 | 39 | 2 | 9 |
| Prediction Trend | Down | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.354
Training Time: 13.27 seconds
Mean Squared Error (MSE): 56.03156266272437
Mean Absolute Error (MAE): 5.6898286176376605
Huber Loss: 5.212001800537109
R-squared: -0.19605084716895924
SMAPE: 20.857146804809275


# LSTM Input: (192, 128, 128, 0.117)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 8 | 16 | 24 | 36 | 42 | 4 | 9 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.117
Training Time: 11.03 seconds
Mean Squared Error (MSE): 51.080745301837894
Mean Absolute Error (MAE): 5.30174593495674
Huber Loss: 4.825530052185059
R-squared: -0.014280905451664605
SMAPE: 19.036657643650155


# LSTM Input: (192, 128, 128, 0.987)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | -928 | -348 | 970 | 982 | 71 | 78 | -119 |
| Prediction Trend | Down | Down | Up | Up | Up | Up | Down |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.987
Training Time: 8.90 seconds
Mean Squared Error (MSE): 410942.7260394915
Mean Absolute Error (MAE): 494.24672835213795
Huber Loss: 493.74713134765625
R-squared: -6992.965285310927
SMAPE: 87.55260480765996


# LSTM Input: (192, 128, 128, 0.862)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 196 | -1399 | -870 | 783 | -1608 | 198 | 158 |
| Prediction Trend | Up | Down | Down | Up | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.862
Training Time: 8.74 seconds
Mean Squared Error (MSE): 883387.9175372679
Mean Absolute Error (MAE): 748.7263902936663
Huber Loss: 748.2264404296875
R-squared: -15979.745144082626
SMAPE: 95.67172299268267


# LSTM Input: (192, 128, 128, 0.737)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 43 | 28 | 58 | 14 | 89 | 46 | 19 |
| Prediction Trend | Up | Up | Up | Down | Up | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.737
Training Time: 10.45 seconds
Mean Squared Error (MSE): 1039.8802253171382
Mean Absolute Error (MAE): 28.568904203622516
Huber Loss: 28.071365356445312
R-squared: -48.59158221529913
SMAPE: 48.91107194279707


# LSTM Input: (192, 128, 128, 0.612)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 29 | 2 | 11 | 33 | 40 | 6 | 12 |
| Prediction Trend | Up | Down | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.612
Training Time: 17.55 seconds
Mean Squared Error (MSE): 172.78438852018084
Mean Absolute Error (MAE): 10.083603180590131
Huber Loss: 9.599900245666504
R-squared: -2.7149541260612824
SMAPE: 35.220095088315865


# LSTM Input: (192, 128, 128, 0.487)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | -47 | 81 | -14 | 37 | 53 | 3 | -14 |
| Prediction Trend | Down | Up | Down | Down | Up | Up | Down |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.487
Training Time: 14.06 seconds
Mean Squared Error (MSE): 1399.4383698562644
Mean Absolute Error (MAE): 28.96852816692015
Huber Loss: 28.47516441345215
R-squared: -31.88841978826958
SMAPE: 60.81098861556552


# LSTM Input: (192, 128, 128, 0.362)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 4 | 12 | 22 | 32 | 39 | 4 | 7 |
| Prediction Trend | Down | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.362
Training Time: 8.89 seconds
Mean Squared Error (MSE): 62.65999532817898
Mean Absolute Error (MAE): 5.986272894606297
Huber Loss: 5.5092997550964355
R-squared: -0.23914970991434317
SMAPE: 22.013329657561677


# LSTM Input: (192, 128, 128, 0.237)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 9 | 16 | 26 | 33 | 41 | 4 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.237
Training Time: 9.76 seconds
Mean Squared Error (MSE): 50.787910058684474
Mean Absolute Error (MAE): 5.394291930458173
Huber Loss: 4.919600963592529
R-squared: -0.008094155670763024
SMAPE: 19.26633335990538


# LSTM Input: (192, 128, 128, 0.056)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 9 | 16 | 26 | 34 | 42 | 4 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.056
Training Time: 18.07 seconds
Mean Squared Error (MSE): 50.30813947971678
Mean Absolute Error (MAE): 5.341439234156188
Huber Loss: 4.867189884185791
R-squared: -0.0007123454040325645
SMAPE: 19.15014041297477


# LSTM Input: (192, 128, 128, 0.451)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 25 | 12 | 27 | 57 | 32 | 9 | 2 |
| Prediction Trend | Up | Up | Down | Up | Down | Up | Down |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.451
Training Time: 9.49 seconds
Mean Squared Error (MSE): 194.87614272546162
Mean Absolute Error (MAE): 11.120697635574404
Huber Loss: 10.63017463684082
R-squared: -3.441124432898388
SMAPE: 33.96504348638473


# LSTM Input: (192, 128, 128, 0.995)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 1050 | 776 | 2471 | 2233 | 1436 | -326 | 293 |
| Prediction Trend | Up | Up | Up | Up | Up | Down | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.995
Training Time: 8.39 seconds
Mean Squared Error (MSE): 2084549.717952276
Mean Absolute Error (MAE): 1206.7579803985805
Huber Loss: 1206.258056640625
R-squared: -31743.310026184005
SMAPE: 96.87420987399975


# LSTM Input: (192, 128, 128, 0.87)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 1155 | 714 | -1499 | 1999 | 561 | 221 | 202 |
| Prediction Trend | Up | Up | Down | Up | Up | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.87
Training Time: 9.21 seconds
Mean Squared Error (MSE): 1191786.7398548324
Mean Absolute Error (MAE): 894.7793049455498
Huber Loss: 894.279296875
R-squared: -18199.324765753405
SMAPE: 95.05786647515035


# LSTM Input: (192, 128, 128, 0.745)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | -12 | 4 | 29 | 10 | 33 | 4 | 6 |
| Prediction Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.745
Training Time: 11.65 seconds
Mean Squared Error (MSE): 228.36786055642668
Mean Absolute Error (MAE): 11.61169191850286
Huber Loss: 11.123417854309082
R-squared: -3.2306367324970795
SMAPE: 41.72776212207855


# LSTM Input: (192, 128, 128, 0.62)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 4 | 10 | 51 | 26 | 35 | 6 | 2 |
| Prediction Trend | Down | Down | Up | Down | Down | Up | Down |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.62
Training Time: 16.09 seconds
Mean Squared Error (MSE): 172.25575884037238
Mean Absolute Error (MAE): 9.627263132812214
Huber Loss: 9.139689445495605
R-squared: -2.0371353926613103
SMAPE: 30.872786380515326


# LSTM Input: (192, 128, 128, 0.495)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 17 | 24 | 16 | 16 | 43 | 3 | 10 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.495
Training Time: 10.76 seconds
Mean Squared Error (MSE): 125.4068915461689
Mean Absolute Error (MAE): 8.272948220473568
Huber Loss: 7.78930139541626
R-squared: -1.061300269372122
SMAPE: 26.010290666431786


# LSTM Input: (192, 128, 128, 0.37)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 12 | 20 | 25 | 56 | 24 | 6 | 6 |
| Prediction Trend | Up | Up | Down | Up | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.37
Training Time: 11.45 seconds
Mean Squared Error (MSE): 171.14221452596894
Mean Absolute Error (MAE): 9.647395692715028
Huber Loss: 9.159985542297363
R-squared: -2.0137327623378303
SMAPE: 25.88446755083378


# LSTM Input: (192, 128, 128, 0.326)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 7 | 13 | 22 | 39 | 41 | 5 | 8 |
| Prediction Trend | Down | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.326
Training Time: 10.42 seconds
Mean Squared Error (MSE): 57.81197923130181
Mean Absolute Error (MAE): 5.567750895915388
Huber Loss: 5.0925421714782715
R-squared: -0.11390379379957714
SMAPE: 19.808142255378794


# LSTM Input: (192, 128, 128, 0.245)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 8 | 16 | 25 | 36 | 42 | 4 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.245
Training Time: 9.70 seconds
Mean Squared Error (MSE): 50.89968367327216
Mean Absolute Error (MAE): 5.313483763714227
Huber Loss: 4.836709022521973
R-squared: -0.009136187524351256
SMAPE: 19.088430369401575


# LSTM Input: (192, 128, 128, 0.201)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 9 | 16 | 24 | 32 | 43 | 4 | 9 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.201
Training Time: 9.75 seconds
Mean Squared Error (MSE): 50.95896079213652
Mean Absolute Error (MAE): 5.361009896207017
Huber Loss: 4.88745641708374
R-squared: -0.012185109197342456
SMAPE: 19.15545134371464


# LSTM Input: (192, 128, 128, 0.12)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 7 | 16 | 26 | 35 | 42 | 4 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.12
Training Time: 11.77 seconds
Mean Squared Error (MSE): 50.795095820559276
Mean Absolute Error (MAE): 5.289448472107348
Huber Loss: 4.823628902435303
R-squared: -0.010852195853093891
SMAPE: 19.04437038034077


# LSTM Input: (192, 128, 128, 0.459)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 8 | 20 | 30 | 35 | 40 | 5 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.459
Training Time: 11.23 seconds
Mean Squared Error (MSE): 56.07953939212638
Mean Absolute Error (MAE): 5.626293201835788
Huber Loss: 5.146721839904785
R-squared: -0.0798116040350316
SMAPE: 19.58025292800598


# LSTM Input: (192, 128, 128, 0.334)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 8 | 16 | 23 | 32 | 45 | 4 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.334
Training Time: 9.37 seconds
Mean Squared Error (MSE): 52.81377896940126
Mean Absolute Error (MAE): 5.415057595895261
Huber Loss: 4.939685344696045
R-squared: -0.038900380442562214
SMAPE: 19.274687286755427


# LSTM Input: (192, 128, 128, 0.071)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 8 | 17 | 25 | 34 | 42 | 4 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.071
Training Time: 14.62 seconds
Mean Squared Error (MSE): 50.283072997610866
Mean Absolute Error (MAE): 5.323773221904729
Huber Loss: 4.85078763961792
R-squared: -0.0008959861736422983
SMAPE: 19.121638957339904


# LSTM Input: (192, 128, 128, 0.079)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 9 | 16 | 26 | 34 | 42 | 4 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.079
Training Time: 12.53 seconds
Mean Squared Error (MSE): 50.61437735008951
Mean Absolute Error (MAE): 5.356315637932343
Huber Loss: 4.8825602531433105
R-squared: -0.006404267150533168
SMAPE: 19.240930808249757


# LSTM Input: (192, 128, 128, 0.467)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 0 | 35 | 23 | 26 | 37 | 5 | 13 |
| Prediction Trend | Down | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.467
Training Time: 9.74 seconds
Mean Squared Error (MSE): 126.04170628076106
Mean Absolute Error (MAE): 8.74664555406388
Huber Loss: 8.25462532043457
R-squared: -1.6533315662583192
SMAPE: 34.529756186749886


# LSTM Input: (192, 128, 128, 0.342)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 8 | 17 | 26 | 32 | 42 | 4 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.342
Training Time: 11.00 seconds
Mean Squared Error (MSE): 50.77102267516455
Mean Absolute Error (MAE): 5.37135210815741
Huber Loss: 4.895162105560303
R-squared: -0.009385187882517838
SMAPE: 19.176706094282213


# LSTM Input: (192, 128, 128, 0.939)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | -39 | -103 | 94 | 13 | -19 | -10 | 5 |
| Prediction Trend | Down | Down | Up | Down | Down | Down | Down |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.939
Training Time: 14.57 seconds
Mean Squared Error (MSE): 3702.538934841308
Mean Absolute Error (MAE): 47.846956941546225
Huber Loss: 47.350467681884766
R-squared: -61.45486893662364
SMAPE: 75.39446352002791


# LSTM Input: (192, 128, 128, 0.931)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | -1377 | 2388 | -653 | -1393 | -1106 | -344 | -334 |
| Prediction Trend | Down | Up | Down | Down | Down | Down | Down |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.931
Training Time: 8.70 seconds
Mean Squared Error (MSE): 1657762.094227882
Mean Absolute Error (MAE): 1101.3546310217203
Huber Loss: 1100.8546142578125
R-squared: -31382.526718667013
SMAPE: 99.80367356062413


# LSTM Input: (192, 128, 128, 0.814)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 468 | 35 | -140 | -141 | -78 | -32 | 83 |
| Prediction Trend | Up | Up | Down | Down | Down | Down | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.814
Training Time: 9.46 seconds
Mean Squared Error (MSE): 41466.03838592286
Mean Absolute Error (MAE): 149.61957554914514
Huber Loss: 149.1199493408203
R-squared: -1098.2951360407703
SMAPE: 88.39870705039692


# LSTM Input: (192, 128, 128, 0.806)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 66 | 83 | 87 | -48 | -4 | 19 | 24 |
| Prediction Trend | Up | Up | Up | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.806
Training Time: 12.77 seconds
Mean Squared Error (MSE): 3032.34526572843
Mean Absolute Error (MAE): 49.25033841571029
Huber Loss: 48.750335693359375
R-squared: -53.689989896528054
SMAPE: 74.17953077591994


# LSTM Input: (192, 128, 128, 0.689)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 7 | 14 | 21 | 27 | 43 | 5 | 6 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.689
Training Time: 13.15 seconds
Mean Squared Error (MSE): 61.45487735064647
Mean Absolute Error (MAE): 5.939259508840081
Huber Loss: 5.456267356872559
R-squared: -0.24681118840846203
SMAPE: 21.14951872077972


# LSTM Input: (192, 128, 128, 0.681)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | -18 | -26 | 33 | 93 | 20 | 15 | 8 |
| Prediction Trend | Down | Down | Up | Up | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.681
Training Time: 11.49 seconds
Mean Squared Error (MSE): 997.761888374726
Mean Absolute Error (MAE): 24.836844322632768
Huber Loss: 24.340951919555664
R-squared: -15.735128296701735
SMAPE: 54.21309879941695


# LSTM Input: (192, 128, 128, 0.564)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 0 | 26 | 29 | 50 | 40 | 1 | 12 |
| Prediction Trend | Down | Up | Down | Up | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.564
Training Time: 12.26 seconds
Mean Squared Error (MSE): 114.63675639829371
Mean Absolute Error (MAE): 8.039456074335137
Huber Loss: 7.559356689453125
R-squared: -1.2806617854121054
SMAPE: 34.22475046420551


# LSTM Input: (192, 128, 128, 0.556)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | -1 | -69 | -54 | 103 | -54 | -9 | 32 |
| Prediction Trend | Down | Down | Down | Up | Down | Down | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.556
Training Time: 9.64 seconds
Mean Squared Error (MSE): 4123.475539745539
Mean Absolute Error (MAE): 53.90338377563321
Huber Loss: 53.403385162353516
R-squared: -74.44295833712636
SMAPE: 87.28707429952856


# LSTM Input: (192, 128, 128, 0.163)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 9 | 16 | 27 | 34 | 42 | 4 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.163
Training Time: 10.31 seconds
Mean Squared Error (MSE): 50.70317606398241
Mean Absolute Error (MAE): 5.33052022886925
Huber Loss: 4.858209133148193
R-squared: -0.006816924398021491
SMAPE: 19.12738201813139


# LSTM Input: (192, 128, 128, 0.171)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 9 | 18 | 25 | 34 | 43 | 4 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.171
Training Time: 9.81 seconds
Mean Squared Error (MSE): 50.71247459012148
Mean Absolute Error (MAE): 5.359390700755476
Huber Loss: 4.88839054107666
R-squared: -0.010706880232969824
SMAPE: 19.260033109174575


# LSTM Input: (192, 128, 128, 0.411)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | -27 | 69 | -28 | 92 | 98 | 9 | 16 |
| Prediction Trend | Down | Up | Down | Up | Up | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.411
Training Time: 9.73 seconds
Mean Squared Error (MSE): 1954.131409149266
Mean Absolute Error (MAE): 38.14760341774039
Huber Loss: 37.648292541503906
R-squared: -31.400765476777252
SMAPE: 61.05636098717272


# LSTM Input: (192, 128, 128, 0.286)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 9 | 15 | 25 | 32 | 43 | 4 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.286
Training Time: 10.36 seconds
Mean Squared Error (MSE): 51.194487446908816
Mean Absolute Error (MAE): 5.39174859539992
Huber Loss: 4.916577339172363
R-squared: -0.012042255638537336
SMAPE: 19.28244154875794


# LSTM Input: (192, 128, 128, 0.303)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 6 | 18 | 24 | 29 | 45 | 3 | 8 |
| Prediction Trend | Down | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.303
Training Time: 9.62 seconds
Mean Squared Error (MSE): 57.295269548575334
Mean Absolute Error (MAE): 5.628186270898702
Huber Loss: 5.151381969451904
R-squared: -0.1303818602886449
SMAPE: 20.045733897304157


# LSTM Input: (192, 128, 128, 0.178)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 9 | 17 | 24 | 32 | 44 | 4 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.178
Training Time: 9.50 seconds
Mean Squared Error (MSE): 51.20115341275393
Mean Absolute Error (MAE): 5.377111150293934
Huber Loss: 4.908985137939453
R-squared: -0.015733410855661902
SMAPE: 19.218315836450625


# LSTM Input: (192, 128, 128, 0.875)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | -678 | 434 | -701 | 691 | -196 | -190 | -309 |
| Prediction Trend | Down | Up | Down | Up | Down | Down | Down |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.875
Training Time: 8.91 seconds
Mean Squared Error (MSE): 256825.0995540602
Mean Absolute Error (MAE): 461.945033975199
Huber Loss: 461.4450378417969
R-squared: -6317.52735522662
SMAPE: 97.62559810736965


# LSTM Input: (192, 128, 128, 0.75)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | -588 | -556 | -183 | 117 | -187 | 87 | 72 |
| Prediction Trend | Down | Down | Down | Up | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.75
Training Time: 8.89 seconds
Mean Squared Error (MSE): 112491.6410777123
Mean Absolute Error (MAE): 260.1354736795231
Huber Loss: 259.6354675292969
R-squared: -2499.115300489629
SMAPE: 89.41228539296584


# LSTM Input: (192, 128, 128, 0.625)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 2 | 6 | 17 | 13 | 31 | 6 | 6 |
| Prediction Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.625
Training Time: 11.41 seconds
Mean Squared Error (MSE): 166.37605530199951
Mean Absolute Error (MAE): 9.713987905354728
Huber Loss: 9.228832244873047
R-squared: -1.7727832658150084
SMAPE: 34.21684160383066


# LSTM Input: (192, 128, 128, 0.5)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 25 | 4 | 57 | 61 | 41 | 11 | 11 |
| Prediction Trend | Up | Down | Up | Up | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.5
Training Time: 12.80 seconds
Mean Squared Error (MSE): 361.9932442714641
Mean Absolute Error (MAE): 14.6480437071145
Huber Loss: 14.159016609191895
R-squared: -4.945537547382
SMAPE: 36.300771083111364


# LSTM Input: (192, 128, 128, 0.375)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 21 | 16 | 47 | 15 | 52 | 7 | 10 |
| Prediction Trend | Up | Up | Up | Down | Up | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.375
Training Time: 9.08 seconds
Mean Squared Error (MSE): 205.17264942788285
Mean Absolute Error (MAE): 10.87102129508038
Huber Loss: 10.389471054077148
R-squared: -2.4058842843015946
SMAPE: 29.12326147695993


# LSTM Input: (192, 128, 128, 0.25)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 8 | 16 | 24 | 34 | 42 | 4 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.25
Training Time: 11.29 seconds
Mean Squared Error (MSE): 50.500054044666065
Mean Absolute Error (MAE): 5.325696233583957
Huber Loss: 4.851470470428467
R-squared: -0.007522755073395361
SMAPE: 19.17104594970086


# LSTM Input: (192, 128, 128, 0.125)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 8 | 16 | 26 | 33 | 43 | 4 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.125
Training Time: 10.70 seconds
Mean Squared Error (MSE): 50.694384507000734
Mean Absolute Error (MAE): 5.321309606234233
Huber Loss: 4.844415187835693
R-squared: -0.010400458327092117
SMAPE: 19.1162938751648


# LSTM Input: (192, 128, 128, 0.883)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | -1095 | -2555 | 1752 | -2224 | -2295 | -101 | -393 |
| Prediction Trend | Down | Down | Up | Down | Down | Down | Down |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.883
Training Time: 8.33 seconds
Mean Squared Error (MSE): 3070893.092073124
Mean Absolute Error (MAE): 1498.5200425751354
Huber Loss: 1498.0201416015625
R-squared: -50932.67176460192
SMAPE: 99.5934262473145


# LSTM Input: (192, 128, 128, 0.758)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 360 | 20 | -560 | -15 | 178 | -66 | -288 |
| Prediction Trend | Up | Up | Down | Down | Up | Down | Down |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.758
Training Time: 8.82 seconds
Mean Squared Error (MSE): 82811.24942430004
Mean Absolute Error (MAE): 213.64229545139128
Huber Loss: 213.14373779296875
R-squared: -2698.6828518187353
SMAPE: 83.04391811635134


# LSTM Input: (192, 128, 128, 0.633)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | -125 | 421 | -354 | -1717 | 800 | 190 | -2 |
| Prediction Trend | Down | Up | Down | Down | Up | Up | Down |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.633
Training Time: 8.72 seconds
Mean Squared Error (MSE): 571659.5171160336
Mean Absolute Error (MAE): 517.3055434835201
Huber Loss: 516.8055419921875
R-squared: -7827.78956965945
SMAPE: 96.89654902271182


# LSTM Input: (192, 128, 128, 0.508)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 14 | 55 | 3 | 39 | 46 | -7 | 6 |
| Prediction Trend | Up | Up | Down | Down | Up | Down | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.508
Training Time: 10.51 seconds
Mean Squared Error (MSE): 358.69659259955864
Mean Absolute Error (MAE): 13.708325628115206
Huber Loss: 13.217529296875
R-squared: -6.215909170981362
SMAPE: 44.36007394105396


# LSTM Input: (192, 128, 128, 0.383)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 9 | 22 | 23 | 30 | 35 | 6 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.383
Training Time: 9.26 seconds
Mean Squared Error (MSE): 65.3245955416652
Mean Absolute Error (MAE): 6.354959846353855
Huber Loss: 5.877577304840088
R-squared: -0.30592634395553503
SMAPE: 21.14107689489735


# LSTM Input: (192, 128, 128, 0.258)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 10 | 20 | 26 | 34 | 43 | 4 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.258
Training Time: 10.48 seconds
Mean Squared Error (MSE): 52.44752716954125
Mean Absolute Error (MAE): 5.460912450641191
Huber Loss: 4.991583824157715
R-squared: -0.03757373551295605
SMAPE: 19.464704828153007


# LSTM Input: (192, 128, 128, 0.133)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 8 | 17 | 26 | 35 | 43 | 4 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.133
Training Time: 10.69 seconds
Mean Squared Error (MSE): 50.59817480460034
Mean Absolute Error (MAE): 5.297715187883702
Huber Loss: 4.825054168701172
R-squared: -0.005679702908330927
SMAPE: 19.05839908011507


# LSTM Input: (192, 128, 128, 0.204)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 8 | 16 | 25 | 35 | 43 | 4 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.204
Training Time: 10.03 seconds
Mean Squared Error (MSE): 50.71292444260309
Mean Absolute Error (MAE): 5.2868657906850185
Huber Loss: 4.81229305267334
R-squared: -0.008518790135419119
SMAPE: 19.03871527798128


# LSTM Input: (192, 128, 128, 0.023)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 9 | 17 | 26 | 34 | 42 | 4 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.023
Training Time: 24.14 seconds
Mean Squared Error (MSE): 50.22968995071244
Mean Absolute Error (MAE): 5.337849969766578
Huber Loss: 4.860570430755615
R-squared: -0.0029827013672352664
SMAPE: 19.202992076707574


# LSTM Input: (192, 128, 128, 0.944)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 2 | 32 | 34 | 4 | 91 | -2 | 16 |
| Prediction Trend | Down | Up | Up | Down | Up | Down | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.944
Training Time: 13.83 seconds
Mean Squared Error (MSE): 590.362792552046
Mean Absolute Error (MAE): 18.042370499194075
Huber Loss: 17.5469913482666
R-squared: -11.451858951882821
SMAPE: 52.28872871377479


# LSTM Input: (192, 128, 128, 0.819)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 1888 | -1440 | 1424 | 1986 | -800 | -80 | -357 |
| Prediction Trend | Up | Down | Up | Up | Down | Down | Down |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.819
Training Time: 8.46 seconds
Mean Squared Error (MSE): 1759672.5766344112
Mean Absolute Error (MAE): 1142.0646750781
Huber Loss: 1141.564697265625
R-squared: -32209.766165367735
SMAPE: 98.89572746497774


# LSTM Input: (192, 128, 128, 0.694)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | -105 | 37 | -88 | 36 | -256 | -33 | 74 |
| Prediction Trend | Down | Up | Down | Down | Down | Down | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.694
Training Time: 10.62 seconds
Mean Squared Error (MSE): 17245.77782376319
Mean Absolute Error (MAE): 93.6477700966556
Huber Loss: 93.14945220947266
R-squared: -452.1946993780542
SMAPE: 76.2973729592672


# LSTM Input: (192, 128, 128, 0.569)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | -113 | -16 | -43 | 41 | 36 | -3 | 5 |
| Prediction Trend | Down | Down | Down | Up | Down | Down | Down |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.569
Training Time: 10.67 seconds
Mean Squared Error (MSE): 3000.5076649551347
Mean Absolute Error (MAE): 35.666732462895965
Huber Loss: 35.175079345703125
R-squared: -69.88008029276372
SMAPE: 64.28872916510353


# LSTM Input: (192, 128, 128, 0.212)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 8 | 17 | 25 | 31 | 43 | 4 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.212
Training Time: 10.60 seconds
Mean Squared Error (MSE): 51.539990708505506
Mean Absolute Error (MAE): 5.385297099749247
Huber Loss: 4.905884742736816
R-squared: -0.021190524988517874
SMAPE: 19.201623974164423


# LSTM Input: (192, 128, 128, 0.087)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 8 | 17 | 25 | 34 | 42 | 4 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.087
Training Time: 11.26 seconds
Mean Squared Error (MSE): 50.52590303369807
Mean Absolute Error (MAE): 5.322229938442205
Huber Loss: 4.84387731552124
R-squared: -0.0059498785377884045
SMAPE: 19.080792140857973


# LSTM Input: (192, 128, 128, 0.952)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | -2081 | 2631 | 974 | -2279 | 1518 | 11 | -1417 |
| Prediction Trend | Down | Up | Up | Down | Up | Up | Down |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.952
Training Time: 8.53 seconds
Mean Squared Error (MSE): 3098843.7044775286
Mean Absolute Error (MAE): 1554.4918471907272
Huber Loss: 1553.9927978515625
R-squared: -83152.4864404217
SMAPE: 91.08832830518939


# LSTM Input: (192, 128, 128, 0.827)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | -9 | 4 | 22 | 32 | 44 | 3 | 10 |
| Prediction Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.827
Training Time: 20.05 seconds
Mean Squared Error (MSE): 120.0615666726949
Mean Absolute Error (MAE): 8.189851447838503
Huber Loss: 7.708393096923828
R-squared: -1.6420114561250803
SMAPE: 35.046661823818084


# LSTM Input: (192, 128, 128, 0.702)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 9 | 22 | 26 | 37 | 45 | 5 | 9 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.702
Training Time: 17.26 seconds
Mean Squared Error (MSE): 57.13658901314604
Mean Absolute Error (MAE): 5.630069384769518
Huber Loss: 5.153939247131348
R-squared: -0.12048196056904005
SMAPE: 19.74402599315484


# LSTM Input: (192, 128, 128, 0.577)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 89 | 71 | 152 | 427 | 49 | -13 | -7 |
| Prediction Trend | Up | Up | Up | Up | Up | Down | Down |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.577
Training Time: 8.64 seconds
Mean Squared Error (MSE): 25942.810166815143
Mean Absolute Error (MAE): 99.27328638479013
Huber Loss: 98.77692413330078
R-squared: -306.71110773830134
SMAPE: 73.3175239739532


# LSTM Input: (192, 128, 128, 0.22)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 8 | 18 | 27 | 35 | 43 | 4 | 9 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.22
Training Time: 9.27 seconds
Mean Squared Error (MSE): 51.455485749224366
Mean Absolute Error (MAE): 5.313088215127283
Huber Loss: 4.834436893463135
R-squared: -0.02039149608325443
SMAPE: 19.046614647044965


# LSTM Input: (192, 128, 128, 0.095)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 9 | 17 | 26 | 35 | 43 | 4 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.095
Training Time: 11.28 seconds
Mean Squared Error (MSE): 50.80532798036346
Mean Absolute Error (MAE): 5.315082653039167
Huber Loss: 4.844006061553955
R-squared: -0.00962716648492834
SMAPE: 19.072116043383872


# LSTM Input: (192, 128, 128, 0.046)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 9 | 17 | 26 | 34 | 42 | 4 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.046
Training Time: 14.91 seconds
Mean Squared Error (MSE): 50.3265403183968
Mean Absolute Error (MAE): 5.329188512296094
Huber Loss: 4.857511520385742
R-squared: -0.0014971528248331875
SMAPE: 19.13945717360604


# LSTM Input: (192, 128, 128, 0.416)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 9 | 12 | 25 | 33 | 46 | 4 | 7 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.416
Training Time: 10.18 seconds
Mean Squared Error (MSE): 55.20914889414876
Mean Absolute Error (MAE): 5.513739740767447
Huber Loss: 5.036612033843994
R-squared: -0.10049205074381709
SMAPE: 19.76644215972481


# LSTM Input: (192, 128, 128, 0.291)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 7 | 15 | 24 | 32 | 42 | 3 | 7 |
| Prediction Trend | Down | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.291
Training Time: 10.67 seconds
Mean Squared Error (MSE): 51.74451405821647
Mean Absolute Error (MAE): 5.40692743233272
Huber Loss: 4.925323963165283
R-squared: -0.044063866157865235
SMAPE: 19.596972437016248


# LSTM Input: (192, 128, 128, 0.424)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 4 | 34 | 18 | 52 | 34 | 5 | 6 |
| Prediction Trend | Down | Up | Down | Up | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.424
Training Time: 9.64 seconds
Mean Squared Error (MSE): 164.12750031930418
Mean Absolute Error (MAE): 9.472203184147272
Huber Loss: 8.982914924621582
R-squared: -1.5741404952243003
SMAPE: 26.104212138162758


# LSTM Input: (192, 128, 128, 0.299)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 8 | 19 | 25 | 38 | 44 | 4 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.299
Training Time: 10.31 seconds
Mean Squared Error (MSE): 54.009076711896434
Mean Absolute Error (MAE): 5.371039343934482
Huber Loss: 4.899656295776367
R-squared: -0.04832896374738233
SMAPE: 19.155474931219967


# LSTM Input: (192, 128, 128, 0.174)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 8 | 17 | 25 | 33 | 43 | 4 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.174
Training Time: 9.92 seconds
Mean Squared Error (MSE): 50.52001081142256
Mean Absolute Error (MAE): 5.315386605100568
Huber Loss: 4.83536434173584
R-squared: -0.007185074431785716
SMAPE: 19.0769097901792


# LSTM Input: (192, 128, 128, 0.001)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 4 | 7 | 16 | 24 | 43 | 5 | 8 |
| Prediction Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.001
Training Time: 32.73 seconds
Mean Squared Error (MSE): 64.21308111897655
Mean Absolute Error (MAE): 5.999934239046914
Huber Loss: 5.523926258087158
R-squared: -0.2261217205434296
SMAPE: 20.78763711461244


# LSTM Input: (192, 128, 128, 0.009)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 9 | 14 | 26 | 34 | 42 | 4 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.009
Training Time: 21.97 seconds
Mean Squared Error (MSE): 52.85431916656585
Mean Absolute Error (MAE): 5.480698908267379
Huber Loss: 5.009439945220947
R-squared: -0.043279325385511415
SMAPE: 19.380339340804408


# LSTM Input: (192, 128, 128, 0.888)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 1125 | 1319 | -1460 | 1491 | -932 | 315 | 367 |
| Prediction Trend | Up | Up | Down | Up | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.888
Training Time: 9.67 seconds
Mean Squared Error (MSE): 1209915.1770762987
Mean Absolute Error (MAE): 1002.0354066706026
Huber Loss: 1001.5353393554688
R-squared: -22181.92528218656
SMAPE: 97.80598272187908


# LSTM Input: (192, 128, 128, 0.763)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 38 | 43 | 4 | 75 | -2 | -1 | -3 |
| Prediction Trend | Up | Up | Down | Up | Down | Down | Down |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.763
Training Time: 10.45 seconds
Mean Squared Error (MSE): 876.4865396939134
Mean Absolute Error (MAE): 25.561987147647503
Huber Loss: 25.06281089782715
R-squared: -17.04889844720028
SMAPE: 74.30991511719571


# LSTM Input: (192, 128, 128, 0.638)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 14 | 12 | -8 | 11 | 59 | 4 | 6 |
| Prediction Trend | Up | Up | Down | Down | Up | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.638
Training Time: 11.04 seconds
Mean Squared Error (MSE): 329.3131896979933
Mean Absolute Error (MAE): 13.246825966705272
Huber Loss: 12.761942863464355
R-squared: -3.674322422026781
SMAPE: 39.74292622263621


# LSTM Input: (192, 128, 128, 0.513)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 16 | 19 | 0 | 85 | 29 | 5 | 6 |
| Prediction Trend | Up | Up | Down | Up | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.513
Training Time: 11.52 seconds
Mean Squared Error (MSE): 556.7368803555244
Mean Absolute Error (MAE): 15.995980966557454
Huber Loss: 15.507851600646973
R-squared: -5.990341817600985
SMAPE: 39.6984927854386


# LSTM Input: (192, 128, 128, 0.388)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 7 | 22 | 22 | 30 | 39 | 3 | 8 |
| Prediction Trend | Down | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.388
Training Time: 9.93 seconds
Mean Squared Error (MSE): 60.13488820534399
Mean Absolute Error (MAE): 5.903392446284391
Huber Loss: 5.431612968444824
R-squared: -0.15716677315338928
SMAPE: 20.351421466383005


# LSTM Input: (192, 128, 128, 0.263)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 10 | 18 | 27 | 34 | 41 | 4 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.263
Training Time: 10.53 seconds
Mean Squared Error (MSE): 51.428754797750045
Mean Absolute Error (MAE): 5.465191695965877
Huber Loss: 4.9874958992004395
R-squared: -0.02239558756904409
SMAPE: 19.458473631516014


# LSTM Input: (192, 128, 128, 0.138)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 9 | 16 | 26 | 33 | 42 | 4 | 9 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.138
Training Time: 10.50 seconds
Mean Squared Error (MSE): 50.46907357609421
Mean Absolute Error (MAE): 5.341537352727384
Huber Loss: 4.869297981262207
R-squared: -0.010616718629891045
SMAPE: 19.190961609360645


# LSTM Input: (192, 128, 128, 0.896)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 677 | 1105 | 493 | 1317 | -561 | 161 | -265 |
| Prediction Trend | Up | Up | Up | Up | Down | Up | Down |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.896
Training Time: 11.07 seconds
Mean Squared Error (MSE): 584817.6105708368
Mean Absolute Error (MAE): 659.195803454133
Huber Loss: 658.6958618164062
R-squared: -10309.450678690597
SMAPE: 96.45839736720419


# LSTM Input: (192, 128, 128, 0.771)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | -366 | 751 | 1179 | 278 | -487 | 274 | -101 |
| Prediction Trend | Down | Up | Up | Up | Down | Up | Down |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.771
Training Time: 8.91 seconds
Mean Squared Error (MSE): 347654.9845240637
Mean Absolute Error (MAE): 487.4924792724401
Huber Loss: 486.9924621582031
R-squared: -6211.564500933283
SMAPE: 95.26589203509155


# LSTM Input: (192, 128, 128, 0.646)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 93 | 249 | 67 | -157 | 19 | 24 | -2 |
| Prediction Trend | Up | Up | Up | Down | Down | Up | Down |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.646
Training Time: 9.32 seconds
Mean Squared Error (MSE): 14288.533870846728
Mean Absolute Error (MAE): 85.79666069514897
Huber Loss: 85.29666137695312
R-squared: -206.6065375837561
SMAPE: 75.35768173581229


# LSTM Input: (192, 128, 128, 0.521)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | -100 | 355 | -84 | -192 | -131 | -70 | 69 |
| Prediction Trend | Down | Up | Down | Down | Down | Down | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.521
Training Time: 9.02 seconds
Mean Squared Error (MSE): 32970.844742272086
Mean Absolute Error (MAE): 156.1933086550966
Huber Loss: 155.6933135986328
R-squared: -638.5250770230559
SMAPE: 95.77165943383906


# LSTM Input: (192, 128, 128, 0.396)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 10 | 18 | 24 | 34 | 44 | 4 | 7 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.396
Training Time: 11.10 seconds
Mean Squared Error (MSE): 52.03154205460695
Mean Absolute Error (MAE): 5.466914597822695
Huber Loss: 4.988531112670898
R-squared: -0.05656262108763889
SMAPE: 19.759720499798892


# LSTM Input: (192, 128, 128, 0.271)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 11 | 20 | 25 | 36 | 44 | 5 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.271
Training Time: 9.51 seconds
Mean Squared Error (MSE): 53.823622011391265
Mean Absolute Error (MAE): 5.5335751131278315
Huber Loss: 5.052774906158447
R-squared: -0.0696868221382513
SMAPE: 19.74119461275262


# LSTM Input: (192, 128, 128, 0.016)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 9 | 17 | 25 | 34 | 42 | 4 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.016
Training Time: 33.33 seconds
Mean Squared Error (MSE): 50.28889980527187
Mean Absolute Error (MAE): 5.329660062076284
Huber Loss: 4.853330135345459
R-squared: -0.0005317073330861304
SMAPE: 19.12243744350931


# LSTM Input: (192, 128, 128, 0.957)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 46 | 128 | 113 | -186 | -186 | 28 | -33 |
| Prediction Trend | Up | Up | Up | Down | Down | Up | Down |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.957
Training Time: 13.46 seconds
Mean Squared Error (MSE): 17762.31013349736
Mean Absolute Error (MAE): 106.99575806961579
Huber Loss: 106.49576568603516
R-squared: -320.6504635689921
SMAPE: 83.98024818006989


# LSTM Input: (192, 128, 128, 0.832)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 29 | 25 | 49 | -7 | 214 | 7 | 11 |
| Prediction Trend | Up | Up | Up | Down | Up | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.832
Training Time: 15.71 seconds
Mean Squared Error (MSE): 4666.425250798807
Mean Absolute Error (MAE): 39.03548795917407
Huber Loss: 38.545509338378906
R-squared: -98.87050839443918
SMAPE: 48.87773117625884


# LSTM Input: (192, 128, 128, 0.707)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 10 | 19 | 27 | 41 | 46 | 2 | 9 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.707
Training Time: 10.23 seconds
Mean Squared Error (MSE): 60.92397428021642
Mean Absolute Error (MAE): 5.677477195149376
Huber Loss: 5.199233531951904
R-squared: -0.2535530903686481
SMAPE: 20.953874875941477


# LSTM Input: (192, 128, 128, 0.582)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 17 | -21 | 0 | 25 | 56 | 45 | 22 |
| Prediction Trend | Up | Down | Down | Down | Up | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.582
Training Time: 9.38 seconds
Mean Squared Error (MSE): 663.0576508520156
Mean Absolute Error (MAE): 21.892611468328024
Huber Loss: 21.39339256286621
R-squared: -38.32246741589626
SMAPE: 58.18721392505027


# LSTM Input: (192, 128, 128, 0.225)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 9 | 18 | 23 | 33 | 42 | 5 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.225
Training Time: 10.71 seconds
Mean Squared Error (MSE): 51.71436168947759
Mean Absolute Error (MAE): 5.427357285201144
Huber Loss: 4.951570510864258
R-squared: -0.021281713150568832
SMAPE: 19.366537656827557


# LSTM Input: (192, 128, 128, 0.1)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 9 | 16 | 24 | 33 | 43 | 4 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.1
Training Time: 10.63 seconds
Mean Squared Error (MSE): 50.66532789316975
Mean Absolute Error (MAE): 5.353865571573478
Huber Loss: 4.880476951599121
R-squared: -0.006528715547748476
SMAPE: 19.21758162508231


# LSTM Input: (192, 128, 128, 0.039)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 8 | 16 | 25 | 34 | 42 | 4 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.039
Training Time: 18.01 seconds
Mean Squared Error (MSE): 50.33210510678192
Mean Absolute Error (MAE): 5.320892979498623
Huber Loss: 4.847360134124756
R-squared: -0.0012882097205726734
SMAPE: 19.109240809829444


# LSTM Input: (192, 128, 128, 0.965)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 420 | -655 | 2085 | -3741 | -894 | -316 | -174 |
| Prediction Trend | Up | Down | Up | Down | Down | Down | Down |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.965
Training Time: 8.61 seconds
Mean Squared Error (MSE): 2875158.2305506687
Mean Absolute Error (MAE): 1193.7242023442068
Huber Loss: 1193.22412109375
R-squared: -35493.45141658474
SMAPE: 99.09264750728136


# LSTM Input: (192, 128, 128, 0.84)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | -773 | -938 | 1054 | -1813 | -1498 | -12 | -205 |
| Prediction Trend | Down | Down | Up | Down | Down | Down | Down |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.84
Training Time: 8.33 seconds
Mean Squared Error (MSE): 1203017.4902213127
Mean Absolute Error (MAE): 912.0578383361401
Huber Loss: 911.557861328125
R-squared: -19518.035238984885
SMAPE: 99.33329737275362


# LSTM Input: (192, 128, 128, 0.715)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | -23 | 24 | 4 | 18 | 30 | 6 | 5 |
| Prediction Trend | Down | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.715
Training Time: 10.60 seconds
Mean Squared Error (MSE): 319.9238056952601
Mean Absolute Error (MAE): 13.949909369150799
Huber Loss: 13.4614839553833
R-squared: -5.830909794112697
SMAPE: 43.07151579282366


# LSTM Input: (192, 128, 128, 0.59)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 36 | 63 | 46 | 14 | 24 | 2 | 19 |
| Prediction Trend | Up | Up | Up | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.59
Training Time: 11.15 seconds
Mean Squared Error (MSE): 647.9053580923872
Mean Absolute Error (MAE): 20.832912261591478
Huber Loss: 20.3395938873291
R-squared: -11.668667591541446
SMAPE: 43.127924815939906


# LSTM Input: (192, 128, 128, 0.233)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 9 | 17 | 25 | 33 | 43 | 5 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.233
Training Time: 9.37 seconds
Mean Squared Error (MSE): 50.59781612529166
Mean Absolute Error (MAE): 5.379528509516294
Huber Loss: 4.9031291007995605
R-squared: -0.012842951963199178
SMAPE: 19.352729279590736


# LSTM Input: (192, 128, 128, 0.103)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 7 | 17 | 25 | 33 | 42 | 4 | 8 |
| Prediction Trend | Down | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.103
Training Time: 11.19 seconds
Mean Squared Error (MSE): 50.890624055696506
Mean Absolute Error (MAE): 5.334099069744552
Huber Loss: 4.861289024353027
R-squared: -0.01424957444630134
SMAPE: 19.124829282874828


# LSTM Input: (192, 128, 128, 0.429)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 9 | 16 | 24 | 34 | 44 | 5 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.429
Training Time: 12.47 seconds
Mean Squared Error (MSE): 51.165598024529295
Mean Absolute Error (MAE): 5.35281609677944
Huber Loss: 4.8756818771362305
R-squared: -0.01912363726718772
SMAPE: 19.243584398960508


# LSTM Input: (192, 128, 128, 0.304)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 5 | 16 | 24 | 33 | 42 | 4 | 8 |
| Prediction Trend | Down | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.304
Training Time: 10.81 seconds
Mean Squared Error (MSE): 53.08822894542781
Mean Absolute Error (MAE): 5.457721461244182
Huber Loss: 4.976531028747559
R-squared: -0.07208115278181897
SMAPE: 20.132377339639213


# LSTM Input: (192, 128, 128, 0.179)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 7 | 16 | 27 | 31 | 44 | 5 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.179
Training Time: 10.41 seconds
Mean Squared Error (MSE): 52.74804745598026
Mean Absolute Error (MAE): 5.424521532188466
Huber Loss: 4.949121952056885
R-squared: -0.03856199583056373
SMAPE: 19.29406226741306


# LSTM Input: (192, 128, 128, 0.437)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | -5 | 18 | 37 | 43 | 32 | 1 | 10 |
| Prediction Trend | Down | Up | Up | Up | Down | Down | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.437
Training Time: 14.50 seconds
Mean Squared Error (MSE): 121.65477050883057
Mean Absolute Error (MAE): 8.488203796399695
Huber Loss: 8.013850212097168
R-squared: -1.6183570330395363
SMAPE: 35.65605036843863


# LSTM Input: (192, 128, 128, 0.312)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 9 | 17 | 26 | 34 | 44 | 4 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.312
Training Time: 10.55 seconds
Mean Squared Error (MSE): 50.92341075197186
Mean Absolute Error (MAE): 5.348360564432987
Huber Loss: 4.878925800323486
R-squared: -0.01984865436188096
SMAPE: 19.251785610592652


# LSTM Input: (192, 128, 128, 0.187)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 8 | 16 | 26 | 35 | 43 | 4 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.187
Training Time: 10.19 seconds
Mean Squared Error (MSE): 50.7388331317509
Mean Absolute Error (MAE): 5.299470378022617
Huber Loss: 4.8267645835876465
R-squared: -0.010755067761799733
SMAPE: 19.10293296036336


# LSTM Input: (192, 128, 128, 0.062)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 9 | 17 | 26 | 32 | 42 | 4 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.062
Training Time: 15.00 seconds
Mean Squared Error (MSE): 50.6548559678457
Mean Absolute Error (MAE): 5.371842098884842
Huber Loss: 4.899181365966797
R-squared: -0.004487204626824027
SMAPE: 19.197500137989003


# LSTM Input: (192, 128, 128, 0.901)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 47 | 19 | 34 | 30 | 24 | 7 | 10 |
| Prediction Trend | Up | Up | Up | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.901
Training Time: 13.58 seconds
Mean Squared Error (MSE): 325.50485414726256
Mean Absolute Error (MAE): 12.81287372517748
Huber Loss: 12.331060409545898
R-squared: -7.407650082241807
SMAPE: 29.95155606670497


# LSTM Input: (192, 128, 128, 0.776)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 11 | 29 | 26 | 28 | 28 | 3 | 6 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.776
Training Time: 15.69 seconds
Mean Squared Error (MSE): 109.1189837309703
Mean Absolute Error (MAE): 8.1303911184778
Huber Loss: 7.6443257331848145
R-squared: -1.134640102712659
SMAPE: 24.555524096668353


# LSTM Input: (192, 128, 128, 0.651)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 4 | 30 | 26 | 28 | 43 | 5 | 10 |
| Prediction Trend | Down | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.651
Training Time: 12.97 seconds
Mean Squared Error (MSE): 84.69795769212666
Mean Absolute Error (MAE): 6.813465105027568
Huber Loss: 6.3330769538879395
R-squared: -0.5786356128852171
SMAPE: 22.998236101188628


# LSTM Input: (192, 128, 128, 0.526)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | -362 | 233 | 257 | -73 | 164 | 13 | -90 |
| Prediction Trend | Down | Up | Up | Down | Up | Up | Down |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.526
Training Time: 8.43 seconds
Mean Squared Error (MSE): 39162.06705469861
Mean Absolute Error (MAE): 164.91373933578024
Huber Loss: 164.4137420654297
R-squared: -959.2415987106416
SMAPE: 83.45421651433466


# LSTM Input: (192, 128, 128, 0.445)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 9 | 16 | 24 | 32 | 43 | 4 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.445
Training Time: 11.04 seconds
Mean Squared Error (MSE): 51.65168857210276
Mean Absolute Error (MAE): 5.451980942366075
Huber Loss: 4.974118709564209
R-squared: -0.026737866701643003
SMAPE: 19.554461699056866


# LSTM Input: (192, 128, 128, 0.401)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 11 | -5 | 27 | 21 | 50 | 7 | 10 |
| Prediction Trend | Up | Down | Down | Down | Up | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.401
Training Time: 10.00 seconds
Mean Squared Error (MSE): 148.08429423289908
Mean Absolute Error (MAE): 8.876493638064584
Huber Loss: 8.396954536437988
R-squared: -1.5612718057625379
SMAPE: 33.522612356142034


# LSTM Input: (192, 128, 128, 0.32)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 9 | 17 | 24 | 34 | 42 | 5 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.32
Training Time: 10.16 seconds
Mean Squared Error (MSE): 50.56655779142833
Mean Absolute Error (MAE): 5.361254292280494
Huber Loss: 4.887094974517822
R-squared: -0.0048690374493028455
SMAPE: 19.21765880213276


# LSTM Input: (192, 128, 128, 0.276)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 9 | 18 | 26 | 33 | 44 | 4 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.276
Training Time: 10.80 seconds
Mean Squared Error (MSE): 51.44457371999586
Mean Absolute Error (MAE): 5.3846222064933
Huber Loss: 4.915012836456299
R-squared: -0.023997886784038185
SMAPE: 19.28292243643574


# LSTM Input: (192, 128, 128, 0.195)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 8 | 17 | 26 | 33 | 41 | 4 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.195
Training Time: 9.67 seconds
Mean Squared Error (MSE): 50.68045234281056
Mean Absolute Error (MAE): 5.373762817609877
Huber Loss: 4.904475212097168
R-squared: -0.00956306901965674
SMAPE: 19.185123810664344


# LSTM Input: (192, 128, 128, 0.07)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 9 | 16 | 25 | 34 | 43 | 4 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.07
Training Time: 16.35 seconds
Mean Squared Error (MSE): 50.36376187224182
Mean Absolute Error (MAE): 5.319635749674169
Huber Loss: 4.845334053039551
R-squared: -0.002168121822080974
SMAPE: 19.123873003170672


# LSTM Input: (192, 128, 128, 0.141)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 9 | 16 | 23 | 33 | 41 | 4 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.141
Training Time: 10.58 seconds
Mean Squared Error (MSE): 50.99938057974223
Mean Absolute Error (MAE): 5.4183727875858745
Huber Loss: 4.944656848907471
R-squared: -0.011976332926486588
SMAPE: 19.35471577184433


# LSTM Input: (192, 128, 128, 0.909)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | -198 | 95 | -12 | 168 | 40 | 2 | 14 |
| Prediction Trend | Down | Up | Down | Up | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.909
Training Time: 12.08 seconds
Mean Squared Error (MSE): 9785.617018327264
Mean Absolute Error (MAE): 67.23314181152656
Huber Loss: 66.73681640625
R-squared: -213.6367628765043
SMAPE: 58.556429726185755


# LSTM Input: (192, 128, 128, 0.784)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | -1487 | 856 | -198 | 1303 | 489 | 483 | -318 |
| Prediction Trend | Down | Up | Down | Up | Up | Up | Down |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.784
Training Time: 8.35 seconds
Mean Squared Error (MSE): 734564.2759270977
Mean Absolute Error (MAE): 725.8905993091815
Huber Loss: 725.3905639648438
R-squared: -19612.53758386098
SMAPE: 96.23892059354947


# LSTM Input: (192, 128, 128, 0.659)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 43 | 7 | -106 | -8 | 44 | 25 | -8 |
| Prediction Trend | Up | Down | Down | Down | Down | Up | Down |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.659
Training Time: 13.80 seconds
Mean Squared Error (MSE): 3040.8178343249238
Mean Absolute Error (MAE): 37.16394702350202
Huber Loss: 36.6683349609375
R-squared: -46.66338058620103
SMAPE: 69.65858087409667


# LSTM Input: (192, 128, 128, 0.534)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | -7 | 4 | 33 | 41 | 1 | 3 | 16 |
| Prediction Trend | Down | Down | Up | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.534
Training Time: 14.35 seconds
Mean Squared Error (MSE): 373.9257473837488
Mean Absolute Error (MAE): 13.938647934467669
Huber Loss: 13.448902130126953
R-squared: -7.923394192725517
SMAPE: 50.414345731011245


# LSTM Input: (192, 128, 128, 0.149)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 7 | 17 | 27 | 33 | 42 | 4 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.149
Training Time: 10.32 seconds
Mean Squared Error (MSE): 50.87042423220601
Mean Absolute Error (MAE): 5.353479768954167
Huber Loss: 4.881023406982422
R-squared: -0.01402305670743033
SMAPE: 19.156986839944356


# LSTM Input: (192, 128, 128, 0.917)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | -438 | 1635 | -1324 | 441 | -1994 | 99 | 414 |
| Prediction Trend | Down | Up | Down | Up | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.917
Training Time: 8.48 seconds
Mean Squared Error (MSE): 1294226.9532707639
Mean Absolute Error (MAE): 905.0391469812719
Huber Loss: 904.5391845703125
R-squared: -25049.70033018254
SMAPE: 95.98047256279094


# LSTM Input: (192, 128, 128, 0.792)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | -419 | 657 | 819 | 825 | -144 | -451 | -12 |
| Prediction Trend | Down | Up | Up | Up | Down | Down | Down |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.792
Training Time: 9.03 seconds
Mean Squared Error (MSE): 294873.9197994888
Mean Absolute Error (MAE): 470.79986617029925
Huber Loss: 470.29986572265625
R-squared: -7362.113390735359
SMAPE: 97.30064642295542


# LSTM Input: (192, 128, 128, 0.667)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | -1 | 9 | 24 | 33 | 40 | 1 | 7 |
| Prediction Trend | Down | Down | Down | Down | Down | Down | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.667
Training Time: 18.29 seconds
Mean Squared Error (MSE): 73.91049075349538
Mean Absolute Error (MAE): 6.62631138743592
Huber Loss: 6.151564121246338
R-squared: -0.7232078323048878
SMAPE: 33.80218202113782


# LSTM Input: (192, 128, 128, 0.542)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 23 | 32 | 25 | 27 | 38 | 5 | 7 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.542
Training Time: 9.85 seconds
Mean Squared Error (MSE): 124.90493836800034
Mean Absolute Error (MAE): 8.733077034658315
Huber Loss: 8.242266654968262
R-squared: -1.52263836161268
SMAPE: 25.70591950759471


# LSTM Input: (192, 128, 128, 0.108)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 11 | 17 | 25 | 36 | 44 | 5 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.108
Training Time: 10.43 seconds
Mean Squared Error (MSE): 52.21651340610378
Mean Absolute Error (MAE): 5.476862121601494
Huber Loss: 4.9945902824401855
R-squared: -0.05148925870130361
SMAPE: 19.77678563743842


# LSTM Input: (192, 128, 128, 0.978)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | -603 | -744 | 491 | 589 | -353 | -119 | -121 |
| Prediction Trend | Down | Down | Up | Up | Down | Down | Down |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.978
Training Time: 11.45 seconds
Mean Squared Error (MSE): 237618.20620138818
Mean Absolute Error (MAE): 433.91626494271407
Huber Loss: 433.4162902832031
R-squared: -4531.423930363293
SMAPE: 97.05519570661482


# LSTM Input: (192, 128, 128, 0.853)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | -331 | 1400 | -2174 | -824 | -1687 | 568 | 340 |
| Prediction Trend | Down | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.853
Training Time: 8.17 seconds
Mean Squared Error (MSE): 1573542.5032408175
Mean Absolute Error (MAE): 1058.098288088429
Huber Loss: 1057.5982666015625
R-squared: -30099.40571443626
SMAPE: 98.7912010018663


# LSTM Input: (192, 128, 128, 0.728)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 7 | 20 | 26 | 30 | 48 | 3 | 8 |
| Prediction Trend | Down | Up | Down | Down | Up | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.728
Training Time: 13.22 seconds
Mean Squared Error (MSE): 59.67188530270916
Mean Absolute Error (MAE): 5.730903800247478
Huber Loss: 5.256072044372559
R-squared: -0.17926150462426368
SMAPE: 19.844541882994022


# LSTM Input: (192, 128, 128, 0.603)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | -13 | -37 | 32 | 9 | 13 | -2 | 18 |
| Prediction Trend | Down | Down | Up | Down | Down | Down | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.603
Training Time: 10.69 seconds
Mean Squared Error (MSE): 749.4835898374662
Mean Absolute Error (MAE): 21.957385933318108
Huber Loss: 21.460464477539062
R-squared: -13.620697827817112
SMAPE: 66.33948648384242


# LSTM Input: (192, 128, 128, 0.478)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 7 | 17 | 30 | 37 | 45 | 2 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.478
Training Time: 12.21 seconds
Mean Squared Error (MSE): 57.26525370614441
Mean Absolute Error (MAE): 5.486076300241509
Huber Loss: 5.013098239898682
R-squared: -0.18270031212338358
SMAPE: 20.37647518662048


# LSTM Input: (192, 128, 128, 0.353)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 7 | 18 | 27 | 34 | 43 | 5 | 7 |
| Prediction Trend | Down | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.353
Training Time: 9.98 seconds
Mean Squared Error (MSE): 52.02460201903159
Mean Absolute Error (MAE): 5.4016480413423915
Huber Loss: 4.923829078674316
R-squared: -0.05465373777358162
SMAPE: 19.534940318614186


# LSTM Input: (192, 128, 128, 0.116)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 9 | 17 | 25 | 33 | 42 | 4 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.116
Training Time: 10.56 seconds
Mean Squared Error (MSE): 50.49129010651768
Mean Absolute Error (MAE): 5.3552836475729135
Huber Loss: 4.878262519836426
R-squared: -0.00858787109892042
SMAPE: 19.229052739684562


# LSTM Input: (192, 128, 128, 0.986)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 1166 | 1549 | 2224 | -2394 | -1827 | 693 | 186 |
| Prediction Trend | Up | Up | Up | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.986
Training Time: 8.65 seconds
Mean Squared Error (MSE): 2630150.2463667956
Mean Absolute Error (MAE): 1435.8313393625272
Huber Loss: 1435.3314208984375
R-squared: -46938.28085297056
SMAPE: 97.80970616790978


# LSTM Input: (192, 128, 128, 0.861)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 29 | -198 | -155 | 198 | 210 | 15 | 11 |
| Prediction Trend | Up | Down | Down | Up | Up | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.861
Training Time: 9.72 seconds
Mean Squared Error (MSE): 19165.46515896965
Mean Absolute Error (MAE): 108.63463464723964
Huber Loss: 108.14012145996094
R-squared: -277.8856287003003
SMAPE: 67.80240744786722


# LSTM Input: (192, 128, 128, 0.736)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | -83 | -519 | 208 | 60 | 90 | 133 | 139 |
| Prediction Trend | Down | Down | Up | Up | Up | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.736
Training Time: 9.20 seconds
Mean Squared Error (MSE): 53045.00420821095
Mean Absolute Error (MAE): 164.84167957305908
Huber Loss: 164.3416748046875
R-squared: -1301.9680728860505
SMAPE: 75.39389849675064


# LSTM Input: (192, 128, 128, 0.611)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 44 | 173 | -36 | 168 | -85 | -34 | 49 |
| Prediction Trend | Up | Up | Down | Up | Down | Down | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.611
Training Time: 8.70 seconds
Mean Squared Error (MSE): 9583.869885000051
Mean Absolute Error (MAE): 84.82869663368275
Huber Loss: 84.32869720458984
R-squared: -195.2413223152736
SMAPE: 84.40973755306187


# LSTM Input: (192, 128, 128, 0.486)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 7 | 15 | 30 | 38 | 47 | 4 | 8 |
| Prediction Trend | Up | Up | Down | Down | Up | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.486
Training Time: 13.40 seconds
Mean Squared Error (MSE): 61.19675779575
Mean Absolute Error (MAE): 5.613924712550884
Huber Loss: 5.139214992523193
R-squared: -0.17581644684891926
SMAPE: 19.56461852197576


# LSTM Input: (192, 128, 128, 0.361)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 7 | 15 | 26 | 32 | 42 | 5 | 9 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.361
Training Time: 9.67 seconds
Mean Squared Error (MSE): 51.52855585722908
Mean Absolute Error (MAE): 5.394605930159693
Huber Loss: 4.922407627105713
R-squared: -0.046994315089589546
SMAPE: 19.387188897819442


# LSTM Input: (192, 128, 128, 0.236)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 8 | 17 | 26 | 34 | 43 | 4 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.236
Training Time: 9.56 seconds
Mean Squared Error (MSE): 50.639552519123
Mean Absolute Error (MAE): 5.320726963127551
Huber Loss: 4.843142509460449
R-squared: -0.007611928194803782
SMAPE: 19.111224017310732


# LSTM Input: (192, 128, 128, 0.45)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 8 | 16 | 26 | 32 | 43 | 4 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.45
Training Time: 11.03 seconds
Mean Squared Error (MSE): 50.813693802899024
Mean Absolute Error (MAE): 5.353973061049065
Huber Loss: 4.883620262145996
R-squared: -0.007839938572145266
SMAPE: 19.169512781838197


# LSTM Input: (192, 128, 128, 0.325)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 6 | 14 | 26 | 34 | 43 | 4 | 8 |
| Prediction Trend | Down | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.325
Training Time: 9.77 seconds
Mean Squared Error (MSE): 52.145255178250366
Mean Absolute Error (MAE): 5.365642251611567
Huber Loss: 4.890608787536621
R-squared: -0.04293702873817536
SMAPE: 19.499567102536385


# LSTM Input: (192, 128, 128, 0.2)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 9 | 19 | 26 | 32 | 40 | 4 | 9 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.2
Training Time: 9.38 seconds
Mean Squared Error (MSE): 52.439027256373585
Mean Absolute Error (MAE): 5.529666547061635
Huber Loss: 5.05700159072876
R-squared: -0.03730683060050403
SMAPE: 19.430561567806798


# LSTM Input: (192, 128, 128, 0.458)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 6 | 4 | 35 | 32 | 41 | 3 | 8 |
| Prediction Trend | Down | Down | Up | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.458
Training Time: 10.02 seconds
Mean Squared Error (MSE): 89.22269519873917
Mean Absolute Error (MAE): 6.824159586105218
Huber Loss: 6.343520164489746
R-squared: -0.5521037988149357
SMAPE: 25.428174466141574


# LSTM Input: (192, 128, 128, 0.333)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 6 | 23 | 24 | 25 | 40 | 3 | 9 |
| Prediction Trend | Down | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.333
Training Time: 9.01 seconds
Mean Squared Error (MSE): 70.04817586742148
Mean Absolute Error (MAE): 6.276864540009272
Huber Loss: 5.80003023147583
R-squared: -0.27926723322379154
SMAPE: 21.11545196827949


# LSTM Input: (192, 128, 128, 0.078)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 8 | 17 | 25 | 34 | 42 | 4 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.078
Training Time: 12.61 seconds
Mean Squared Error (MSE): 50.375777794226174
Mean Absolute Error (MAE): 5.3159535944867295
Huber Loss: 4.841940879821777
R-squared: -0.0023097206475841047
SMAPE: 19.089119522223264


# LSTM Input: (192, 128, 128, 0.013)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 7 | 20 | 24 | 31 | 42 | 4 | 8 |
| Prediction Trend | Down | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.013
Training Time: 17.20 seconds
Mean Squared Error (MSE): 51.64267503769832
Mean Absolute Error (MAE): 5.3889225194243355
Huber Loss: 4.912315845489502
R-squared: -0.015088978455391224
SMAPE: 19.15569131904803


# LSTM Input: (192, 128, 128, 0.154)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 7 | 14 | 25 | 35 | 42 | 5 | 8 |
| Prediction Trend | Down | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.154
Training Time: 10.27 seconds
Mean Squared Error (MSE): 51.762175111275255
Mean Absolute Error (MAE): 5.338624500903953
Huber Loss: 4.862427711486816
R-squared: -0.031108946356181683
SMAPE: 19.273447421166384


# LSTM Input: (192, 128, 128, 0.922)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 5 | 5 | 19 | 19 | 46 | 5 | 7 |
| Prediction Trend | Down | Down | Down | Down | Up | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.922
Training Time: 14.96 seconds
Mean Squared Error (MSE): 110.32649131956668
Mean Absolute Error (MAE): 7.5436257488873535
Huber Loss: 7.0606560707092285
R-squared: -0.8274718254395078
SMAPE: 26.76569637512313


# LSTM Input: (192, 128, 128, 0.797)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 7 | 43 | -1 | 13 | 43 | 11 | -2 |
| Prediction Trend | Down | Up | Down | Down | Down | Up | Down |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.797
Training Time: 11.99 seconds
Mean Squared Error (MSE): 334.8879453025773
Mean Absolute Error (MAE): 14.334620540442108
Huber Loss: 13.846243858337402
R-squared: -5.689748704067946
SMAPE: 53.49974599051942


# LSTM Input: (192, 128, 128, 0.672)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 8 | 21 | 25 | 29 | 43 | 4 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.672
Training Time: 17.56 seconds
Mean Squared Error (MSE): 56.92486107480862
Mean Absolute Error (MAE): 5.68865718079262
Huber Loss: 5.214258670806885
R-squared: -0.08825163062317255
SMAPE: 19.771131908794533


# LSTM Input: (192, 128, 128, 0.547)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 98 | 87 | -58 | 24 | 17 | 11 | -5 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Down |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.547
Training Time: 13.67 seconds
Mean Squared Error (MSE): 3027.9455118101882
Mean Absolute Error (MAE): 42.81044696788398
Huber Loss: 42.311946868896484
R-squared: -58.780544076356655
SMAPE: 66.12226224181053


# LSTM Input: (192, 128, 128, 0.162)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 10 | 17 | 25 | 33 | 42 | 5 | 9 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.162
Training Time: 10.48 seconds
Mean Squared Error (MSE): 50.61914432346827
Mean Absolute Error (MAE): 5.410931505313536
Huber Loss: 4.929657936096191
R-squared: -0.013281208392182973
SMAPE: 19.373813676038264


# LSTM Input: (192, 128, 128, 0.93)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 53 | -1790 | -227 | -1268 | 2322 | -581 | 272 |
| Prediction Trend | Up | Down | Down | Down | Up | Down | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.93
Training Time: 8.92 seconds
Mean Squared Error (MSE): 1554221.0486866443
Mean Absolute Error (MAE): 943.8843126621377
Huber Loss: 943.38427734375
R-squared: -33913.498961753714
SMAPE: 94.96673578943516


# LSTM Input: (192, 128, 128, 0.805)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 36 | 68 | 51 | -54 | -16 | 6 | 19 |
| Prediction Trend | Up | Up | Up | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.805
Training Time: 12.87 seconds
Mean Squared Error (MSE): 2257.0510605713403
Mean Absolute Error (MAE): 38.031431528175766
Huber Loss: 37.53418731689453
R-squared: -34.60032193506378
SMAPE: 62.66540047609118


# LSTM Input: (192, 128, 128, 0.68)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 81 | 111 | -105 | 9 | 244 | -31 | 5 |
| Prediction Trend | Up | Up | Down | Down | Up | Down | Down |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.68
Training Time: 11.45 seconds
Mean Squared Error (MSE): 10643.932860936146
Mean Absolute Error (MAE): 80.62790511335645
Huber Loss: 80.1323013305664
R-squared: -218.2388730289077
SMAPE: 73.16605753088884


# LSTM Input: (192, 128, 128, 0.555)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | -1 | 9 | 29 | -2 | 39 | 13 | 5 |
| Prediction Trend | Down | Down | Down | Down | Down | Up | Down |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.555
Training Time: 11.88 seconds
Mean Squared Error (MSE): 267.5272570901164
Mean Absolute Error (MAE): 11.58495738965516
Huber Loss: 11.099329948425293
R-squared: -4.1743265529337545
SMAPE: 48.31984771124854


# LSTM Input: (192, 128, 128, 0.17)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 10 | 17 | 26 | 36 | 43 | 4 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.17
Training Time: 10.02 seconds
Mean Squared Error (MSE): 51.46282534132543
Mean Absolute Error (MAE): 5.365195007551284
Huber Loss: 4.88684606552124
R-squared: -0.01828489379795
SMAPE: 19.265816109931286


# LSTM Input: (192, 128, 128, 0.991)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 371 | 1000 | 6101 | 4562 | -6699 | 1183 | 1761 |
| Prediction Trend | Up | Up | Up | Up | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.991
Training Time: 8.83 seconds
Mean Squared Error (MSE): 15486207.169607313
Mean Absolute Error (MAE): 3089.4350234570147
Huber Loss: 3088.934814453125
R-squared: -313001.18273156125
SMAPE: 98.3437830911743


# LSTM Input: (192, 128, 128, 0.866)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 2017 | -533 | 2703 | 784 | 222 | 267 | 73 |
| Prediction Trend | Up | Down | Up | Up | Up | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.866
Training Time: 8.82 seconds
Mean Squared Error (MSE): 1739008.053173383
Mean Absolute Error (MAE): 927.5379781398643
Huber Loss: 927.0379638671875
R-squared: -30165.966539253684
SMAPE: 90.64256574622523


# LSTM Input: (192, 128, 128, 0.741)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | -1 | 67 | -79 | 91 | 31 | -1 | 4 |
| Prediction Trend | Down | Up | Down | Up | Down | Down | Down |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.741
Training Time: 11.86 seconds
Mean Squared Error (MSE): 2461.285882677308
Mean Absolute Error (MAE): 34.59854315920752
Huber Loss: 34.10178756713867
R-squared: -28.514661351501143
SMAPE: 65.52651753187168


# LSTM Input: (192, 128, 128, 0.616)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 6 | 20 | 36 | 34 | 45 | 1 | 5 |
| Prediction Trend | Down | Up | Up | Down | Down | Down | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.616
Training Time: 11.65 seconds
Mean Squared Error (MSE): 71.42598610510261
Mean Absolute Error (MAE): 6.265302231522646
Huber Loss: 5.790663719177246
R-squared: -0.57416768146829
SMAPE: 24.67338289199377


# LSTM Input: (192, 128, 128, 0.491)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 5 | 33 | 29 | 30 | 35 | 4 | 6 |
| Prediction Trend | Down | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.491
Training Time: 10.36 seconds
Mean Squared Error (MSE): 104.39623399025547
Mean Absolute Error (MAE): 7.6426931072254565
Huber Loss: 7.158454418182373
R-squared: -0.8924728020960363
SMAPE: 23.482044421058188


# LSTM Input: (192, 128, 128, 0.366)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 11 | 27 | 22 | 35 | 39 | 5 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.366
Training Time: 10.50 seconds
Mean Squared Error (MSE): 71.6797722264961
Mean Absolute Error (MAE): 6.451076141831017
Huber Loss: 5.973564624786377
R-squared: -0.3311628750818353
SMAPE: 21.40479662180849


# LSTM Input: (192, 128, 128, 0.241)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 9 | 14 | 24 | 30 | 44 | 5 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.241
Training Time: 10.20 seconds
Mean Squared Error (MSE): 54.16480787142528
Mean Absolute Error (MAE): 5.545511627683835
Huber Loss: 5.069063186645508
R-squared: -0.05554370347183405
SMAPE: 19.68764315989096


# LSTM Input: (192, 128, 128, 0.999)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 114 | -62 | 26 | -44 | 169 | 27 | 31 |
| Prediction Trend | Up | Down | Down | Down | Up | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.999
Training Time: 13.30 seconds
Mean Squared Error (MSE): 5829.942775483075
Mean Absolute Error (MAE): 63.21882582035194
Huber Loss: 62.72058868408203
R-squared: -135.9850770054866
SMAPE: 71.12916885977411


# LSTM Input: (192, 128, 128, 0.874)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 53 | 33 | 26 | 80 | 72 | 1 | 10 |
| Prediction Trend | Up | Up | Down | Up | Up | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.874
Training Time: 17.02 seconds
Mean Squared Error (MSE): 801.1062125243079
Mean Absolute Error (MAE): 21.485615680817848
Huber Loss: 21.002885818481445
R-squared: -14.74085194225894
SMAPE: 36.53510029777838


# LSTM Input: (192, 128, 128, 0.749)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | -81 | -112 | 5 | 133 | -50 | -2 | 44 |
| Prediction Trend | Down | Down | Down | Up | Down | Down | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.749
Training Time: 12.46 seconds
Mean Squared Error (MSE): 6411.139280000706
Mean Absolute Error (MAE): 67.16696897777571
Huber Loss: 66.66697692871094
R-squared: -129.85113688675818
SMAPE: 84.17702929400794


# LSTM Input: (192, 128, 128, 0.624)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | -46 | -74 | 25 | 21 | -22 | 8 | 44 |
| Prediction Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.624
Training Time: 10.53 seconds
Mean Squared Error (MSE): 2443.1133320675085
Mean Absolute Error (MAE): 38.754560996075064
Huber Loss: 38.261566162109375
R-squared: -64.38400724650919
SMAPE: 64.31625950638876


# LSTM Input: (192, 128, 128, 0.499)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 9 | 25 | 55 | 31 | 38 | 1 | 10 |
| Prediction Trend | Up | Up | Up | Down | Down | Down | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.499
Training Time: 10.83 seconds
Mean Squared Error (MSE): 193.74415569719895
Mean Absolute Error (MAE): 9.550682588702157
Huber Loss: 9.072715759277344
R-squared: -1.8735831743152969
SMAPE: 27.81288979199153


# LSTM Input: (192, 128, 128, 0.374)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 9 | 16 | 28 | 33 | 42 | 3 | 10 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.374
Training Time: 12.87 seconds
Mean Squared Error (MSE): 52.2936172000204
Mean Absolute Error (MAE): 5.411378804518252
Huber Loss: 4.937831401824951
R-squared: -0.08797748343884369
SMAPE: 19.479798888599163


# LSTM Input: (192, 128, 128, 0.249)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 9 | 17 | 26 | 34 | 42 | 4 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.249
Training Time: 10.26 seconds
Mean Squared Error (MSE): 50.326762193168015
Mean Absolute Error (MAE): 5.3404508743967325
Huber Loss: 4.867676734924316
R-squared: -0.005104158595260684
SMAPE: 19.219762650988784


# LSTM Input: (192, 128, 128, 0.124)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 9 | 18 | 24 | 34 | 43 | 4 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.124
Training Time: 11.71 seconds
Mean Squared Error (MSE): 51.10686786676863
Mean Absolute Error (MAE): 5.369133377561765
Huber Loss: 4.895933151245117
R-squared: -0.016086158624126767
SMAPE: 19.288869626276856


# LSTM Input: (192, 128, 128, 0.463)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 5 | -12 | 17 | 50 | 45 | 4 | 6 |
| Prediction Trend | Down | Down | Down | Up | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.463
Training Time: 14.68 seconds
Mean Squared Error (MSE): 218.6545846687397
Mean Absolute Error (MAE): 10.228119534700097
Huber Loss: 9.74494743347168
R-squared: -2.3759363817507912
SMAPE: 34.180455326881976


# LSTM Input: (192, 128, 128, 0.338)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 10 | 13 | 27 | 38 | 40 | 4 | 7 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.338
Training Time: 11.51 seconds
Mean Squared Error (MSE): 55.36511541631454
Mean Absolute Error (MAE): 5.58503126611515
Huber Loss: 5.101367473602295
R-squared: -0.09406809558885161
SMAPE: 20.037920137660812


# LSTM Input: (192, 128, 128, 0.083)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 8 | 16 | 25 | 34 | 43 | 4 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.083
Training Time: 12.24 seconds
Mean Squared Error (MSE): 50.600572106719554
Mean Absolute Error (MAE): 5.310405094607347
Huber Loss: 4.836263179779053
R-squared: -0.007242102519572612
SMAPE: 19.056833690826043


# LSTM Input: (192, 128, 128, 0.006)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 8 | 15 | 25 | 38 | 45 | 5 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.006
Training Time: 25.42 seconds
Mean Squared Error (MSE): 51.870467971504794
Mean Absolute Error (MAE): 5.409854963928663
Huber Loss: 4.93496561050415
R-squared: -0.05107694005937859
SMAPE: 19.51152829212388


# LSTM Input: (192, 128, 128, 0.022)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 8 | 16 | 25 | 34 | 42 | 4 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.022
Training Time: 34.52 seconds
Mean Squared Error (MSE): 50.31157588852544
Mean Absolute Error (MAE): 5.319844725991593
Huber Loss: 4.8453288078308105
R-squared: -0.0010949193895204118
SMAPE: 19.09652609535499


# LSTM Input: (192, 128, 128, 0.943)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | -319 | -1139 | 150 | 1616 | 618 | -301 | 53 |
| Prediction Trend | Down | Down | Up | Up | Up | Down | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.943
Training Time: 10.18 seconds
Mean Squared Error (MSE): 630417.7299975527
Mean Absolute Error (MAE): 578.2164578554379
Huber Loss: 577.7164916992188
R-squared: -9820.818636113008
SMAPE: 87.5928183719599


# LSTM Input: (192, 128, 128, 0.935)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 2658 | -1239 | 6502 | -1682 | 2931 | 463 | -194 |
| Prediction Trend | Up | Down | Up | Down | Up | Up | Down |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.935
Training Time: 8.68 seconds
Mean Squared Error (MSE): 8869278.314207284
Mean Absolute Error (MAE): 2235.5428544388333
Huber Loss: 2235.04296875
R-squared: -131668.6096052889
SMAPE: 99.14030924424414


# LSTM Input: (192, 128, 128, 0.818)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | -1025 | -987 | 67 | 526 | 64 | -611 | 34 |
| Prediction Trend | Down | Down | Up | Up | Up | Down | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.818
Training Time: 9.69 seconds
Mean Squared Error (MSE): 375421.6388918337
Mean Absolute Error (MAE): 454.185106150958
Huber Loss: 453.6866760253906
R-squared: -13352.771730854334
SMAPE: 72.69189381434371


# LSTM Input: (192, 128, 128, 0.81)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 20 | 122 | 3 | 149 | 111 | 17 | -11 |
| Prediction Trend | Up | Up | Down | Up | Up | Up | Down |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.81
Training Time: 12.78 seconds
Mean Squared Error (MSE): 4381.497136021912
Mean Absolute Error (MAE): 50.908007951820785
Huber Loss: 50.409034729003906
R-squared: -69.1329060697891
SMAPE: 67.03730266669459


# LSTM Input: (192, 128, 128, 0.693)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 4 | -12 | 9 | 67 | 19 | -3 | 4 |
| Prediction Trend | Down | Down | Down | Up | Down | Down | Down |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.693
Training Time: 10.30 seconds
Mean Squared Error (MSE): 448.8320035369806
Mean Absolute Error (MAE): 16.899301535823717
Huber Loss: 16.4042911529541
R-squared: -6.790756295049165
SMAPE: 55.173166192559286


# LSTM Input: (192, 128, 128, 0.685)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 26 | -9 | 25 | 63 | 27 | 5 | 21 |
| Prediction Trend | Up | Down | Down | Up | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.685
Training Time: 13.70 seconds
Mean Squared Error (MSE): 358.91345676423845
Mean Absolute Error (MAE): 15.706382251110204
Huber Loss: 15.213780403137207
R-squared: -7.480955778230938
SMAPE: 43.007761945591206


# LSTM Input: (192, 128, 128, 0.568)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 8 | 20 | 26 | 32 | 40 | 5 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.568
Training Time: 11.78 seconds
Mean Squared Error (MSE): 52.45276070635943
Mean Absolute Error (MAE): 5.534991503572789
Huber Loss: 5.05679988861084
R-squared: -0.04194685378482964
SMAPE: 19.546390871237627


# LSTM Input: (192, 128, 128, 0.56)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 14 | 8 | 34 | 27 | 29 | 4 | 8 |
| Prediction Trend | Up | Down | Up | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.56
Training Time: 10.23 seconds
Mean Squared Error (MSE): 104.75818003196176
Mean Absolute Error (MAE): 7.95369538320165
Huber Loss: 7.470714569091797
R-squared: -0.9679266605791067
SMAPE: 24.755338623911914


# LSTM Input: (192, 128, 128, 0.211)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 9 | 18 | 25 | 33 | 43 | 4 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.211
Training Time: 10.70 seconds
Mean Squared Error (MSE): 50.99250175751909
Mean Absolute Error (MAE): 5.379698251380402
Huber Loss: 4.90325927734375
R-squared: -0.013026695904061882
SMAPE: 19.239466759939013


# LSTM Input: (192, 128, 128, 0.086)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 8 | 17 | 25 | 34 | 41 | 4 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.086
Training Time: 12.48 seconds
Mean Squared Error (MSE): 50.509674580221784
Mean Absolute Error (MAE): 5.360507018712103
Huber Loss: 4.887669563293457
R-squared: -0.006352553248568903
SMAPE: 19.17600503774306


# LSTM Input: (192, 128, 128, 0.407)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 12 | 13 | 22 | 32 | 45 | 5 | 9 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.407
Training Time: 9.54 seconds
Mean Squared Error (MSE): 56.71738795684847
Mean Absolute Error (MAE): 5.713581313892286
Huber Loss: 5.232077598571777
R-squared: -0.14715212652744444
SMAPE: 20.332808250872883


# LSTM Input: (192, 128, 128, 0.282)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 9 | 17 | 25 | 33 | 42 | 5 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.282
Training Time: 11.91 seconds
Mean Squared Error (MSE): 50.49921430749846
Mean Absolute Error (MAE): 5.404075947748561
Huber Loss: 4.9237260818481445
R-squared: -0.006811990745520635
SMAPE: 19.35089441343689


# LSTM Input: (192, 128, 128, 0.045)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 8 | 16 | 25 | 34 | 42 | 4 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.045
Training Time: 19.61 seconds
Mean Squared Error (MSE): 50.28552188888647
Mean Absolute Error (MAE): 5.32833837651882
Huber Loss: 4.856785774230957
R-squared: -0.0006066310736937895
SMAPE: 19.107649688330856


# LSTM Input: (192, 128, 128, 0.415)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 3 | 6 | 25 | 38 | 46 | 3 | 9 |
| Prediction Trend | Down | Down | Down | Down | Up | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.415
Training Time: 9.73 seconds
Mean Squared Error (MSE): 77.8702848297796
Mean Absolute Error (MAE): 6.339468326292883
Huber Loss: 5.858624458312988
R-squared: -0.5450520943917448
SMAPE: 25.590335119320564


# LSTM Input: (192, 128, 128, 0.29)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 7 | 13 | 24 | 30 | 38 | 5 | 7 |
| Prediction Trend | Down | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.29
Training Time: 13.73 seconds
Mean Squared Error (MSE): 57.58427896293909
Mean Absolute Error (MAE): 5.80183798034175
Huber Loss: 5.319674491882324
R-squared: -0.15072686130065724
SMAPE: 20.41568154846943


# LSTM Input: (192, 128, 128, 0.879)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 893 | -236 | 661 | -996 | 188 | -39 | 87 |
| Prediction Trend | Up | Down | Up | Down | Up | Down | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.879
Training Time: 10.31 seconds
Mean Squared Error (MSE): 334179.7241414602
Mean Absolute Error (MAE): 438.63649167171144
Huber Loss: 438.136474609375
R-squared: -5740.008829203306
SMAPE: 91.06643748103092


# LSTM Input: (192, 128, 128, 0.754)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | -41 | 43 | 98 | 159 | -51 | -15 | 0 |
| Prediction Trend | Down | Up | Up | Up | Down | Down | Down |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.754
Training Time: 12.08 seconds
Mean Squared Error (MSE): 4767.438235773926
Mean Absolute Error (MAE): 56.1852837269809
Huber Loss: 55.685279846191406
R-squared: -78.32461762105758
SMAPE: 81.77319682288771


# LSTM Input: (192, 128, 128, 0.629)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | -9 | 7 | 26 | 66 | 45 | 3 | 8 |
| Prediction Trend | Down | Down | Down | Up | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.629
Training Time: 10.61 seconds
Mean Squared Error (MSE): 255.08857857528884
Mean Absolute Error (MAE): 11.117129496976633
Huber Loss: 10.635197639465332
R-squared: -3.0346701507360447
SMAPE: 34.920125612332306


# LSTM Input: (192, 128, 128, 0.504)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 11 | 13 | 22 | 37 | 44 | 5 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.504
Training Time: 9.97 seconds
Mean Squared Error (MSE): 56.548056881202065
Mean Absolute Error (MAE): 5.598305021824481
Huber Loss: 5.1216511726379395
R-squared: -0.1075482241845731
SMAPE: 20.086131053978068


# LSTM Input: (192, 128, 128, 0.379)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 9 | 31 | 19 | 56 | 42 | 5 | 9 |
| Prediction Trend | Up | Up | Down | Up | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.379
Training Time: 14.73 seconds
Mean Squared Error (MSE): 157.3524453557809
Mean Absolute Error (MAE): 8.853110817824902
Huber Loss: 8.372065544128418
R-squared: -1.3081533117749466
SMAPE: 23.796195517537832


# LSTM Input: (192, 128, 128, 0.254)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 12 | 11 | 29 | 35 | 43 | 3 | 9 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.254
Training Time: 11.13 seconds
Mean Squared Error (MSE): 57.98073357890443
Mean Absolute Error (MAE): 5.6805284124653355
Huber Loss: 5.203295707702637
R-squared: -0.14147048198134002
SMAPE: 20.425147536978606


# LSTM Input: (192, 128, 128, 0.129)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 9 | 17 | 23 | 32 | 41 | 4 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.129
Training Time: 10.38 seconds
Mean Squared Error (MSE): 51.73016652907335
Mean Absolute Error (MAE): 5.454939315919162
Huber Loss: 4.984572410583496
R-squared: -0.020947402133860735
SMAPE: 19.433269233520875


# LSTM Input: (192, 128, 128, 0.887)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 280 | 212 | -3006 | -1975 | -395 | -76 | -338 |
| Prediction Trend | Up | Up | Down | Down | Down | Down | Down |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.887
Training Time: 9.34 seconds
Mean Squared Error (MSE): 1954230.6441811419
Mean Absolute Error (MAE): 911.2956474589654
Huber Loss: 910.795654296875
R-squared: -23689.043527290753
SMAPE: 97.1617618742813


# LSTM Input: (192, 128, 128, 0.762)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 1623 | 3816 | 628 | 217 | 1780 | -777 | 317 |
| Prediction Trend | Up | Up | Up | Up | Up | Down | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.762
Training Time: 8.62 seconds
Mean Squared Error (MSE): 3024754.6500908947
Mean Absolute Error (MAE): 1289.8541170237017
Huber Loss: 1289.3541259765625
R-squared: -62621.666661152085
SMAPE: 93.41852333189328


# LSTM Input: (192, 128, 128, 0.637)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | -101 | 105 | -54 | 74 | 82 | -22 | 28 |
| Prediction Trend | Down | Up | Down | Up | Up | Down | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.637
Training Time: 13.39 seconds
Mean Squared Error (MSE): 4401.6335300715555
Mean Absolute Error (MAE): 57.688699109213694
Huber Loss: 57.188697814941406
R-squared: -100.81916308015973
SMAPE: 71.5131152718603


# LSTM Input: (192, 128, 128, 0.512)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 59 | -8 | 63 | 50 | 24 | -2 | 12 |
| Prediction Trend | Up | Down | Up | Up | Down | Down | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.512
Training Time: 10.18 seconds
Mean Squared Error (MSE): 793.767668783929
Mean Absolute Error (MAE): 22.337072483941814
Huber Loss: 21.845966339111328
R-squared: -15.947241924822743
SMAPE: 55.52002112894445


# LSTM Input: (192, 128, 128, 0.387)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 7 | 12 | 22 | 36 | 45 | 2 | 7 |
| Prediction Trend | Down | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.387
Training Time: 12.73 seconds
Mean Squared Error (MSE): 57.47612990648093
Mean Absolute Error (MAE): 5.567640237864994
Huber Loss: 5.091450214385986
R-squared: -0.22222681749283793
SMAPE: 20.99250455299173


# LSTM Input: (192, 128, 128, 0.262)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 9 | 18 | 27 | 31 | 43 | 5 | 9 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.262
Training Time: 11.02 seconds
Mean Squared Error (MSE): 52.660775646857836
Mean Absolute Error (MAE): 5.464665859734931
Huber Loss: 4.988864898681641
R-squared: -0.03752432907734904
SMAPE: 19.36343599941052


# LSTM Input: (192, 128, 128, 0.137)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 8 | 16 | 23 | 34 | 43 | 4 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.137
Training Time: 10.78 seconds
Mean Squared Error (MSE): 51.24726686722842
Mean Absolute Error (MAE): 5.328948801472072
Huber Loss: 4.854823589324951
R-squared: -0.018079245139465256
SMAPE: 19.16707864502892


# LSTM Input: (192, 128, 128, 0.895)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 302 | 31 | -133 | 80 | 23 | -26 | 33 |
| Prediction Trend | Up | Up | Down | Up | Down | Down | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.895
Training Time: 11.45 seconds
Mean Squared Error (MSE): 16397.953104446562
Mean Absolute Error (MAE): 83.22258318362593
Huber Loss: 82.72338104248047
R-squared: -412.6467975267543
SMAPE: 65.92505868281714


# LSTM Input: (192, 128, 128, 0.77)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 49 | 4 | 17 | 11 | 54 | -5 | 0 |
| Prediction Trend | Up | Down | Down | Down | Up | Down | Down |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.77
Training Time: 12.05 seconds
Mean Squared Error (MSE): 442.7568280412052
Mean Absolute Error (MAE): 16.768460976023256
Huber Loss: 16.271589279174805
R-squared: -11.096502491848382
SMAPE: 58.7860455040443


# LSTM Input: (192, 128, 128, 0.645)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | -52 | 44 | 6 | 55 | 82 | -29 | 12 |
| Prediction Trend | Down | Up | Down | Up | Up | Down | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.645
Training Time: 11.86 seconds
Mean Squared Error (MSE): 1191.5262594823369
Mean Absolute Error (MAE): 29.3457807456555
Huber Loss: 28.850563049316406
R-squared: -42.82167682610601
SMAPE: 54.659972601273445


# LSTM Input: (192, 128, 128, 0.52)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 5 | 16 | 93 | 6 | 39 | 8 | 0 |
| Prediction Trend | Down | Up | Up | Down | Down | Up | Down |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.52
Training Time: 10.50 seconds
Mean Squared Error (MSE): 828.012409753479
Mean Absolute Error (MAE): 18.002583874630282
Huber Loss: 17.510425567626953
R-squared: -9.796975644342272
SMAPE: 46.94321178684655


# LSTM Input: (192, 128, 128, 0.395)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 18 | 7 | 5 | 41 | 39 | 3 | 7 |
| Prediction Trend | Up | Down | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.395
Training Time: 9.32 seconds
Mean Squared Error (MSE): 146.1068193421919
Mean Absolute Error (MAE): 8.765242659315772
Huber Loss: 8.28369140625
R-squared: -1.346693804088506
SMAPE: 31.303156554560445


# LSTM Input: (192, 128, 128, 0.27)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 7 | 16 | 25 | 35 | 43 | 5 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.27
Training Time: 10.64 seconds
Mean Squared Error (MSE): 50.99985450140891
Mean Absolute Error (MAE): 5.291812189582253
Huber Loss: 4.81566858291626
R-squared: -0.018819707741810982
SMAPE: 19.08209588545752


# LSTM Input: (192, 128, 128, 0.948)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 4890 | 3212 | 1309 | 1372 | -1540 | 1303 | -274 |
| Prediction Trend | Up | Up | Up | Up | Down | Up | Down |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.948
Training Time: 8.63 seconds
Mean Squared Error (MSE): 5938894.995675385
Mean Absolute Error (MAE): 1976.7734704050076
Huber Loss: 1976.2734375
R-squared: -160652.92660168582
SMAPE: 98.48292098868649


# LSTM Input: (192, 128, 128, 0.823)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 1407 | -533 | 779 | 1596 | 2162 | 304 | 155 |
| Prediction Trend | Up | Down | Up | Up | Up | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.823
Training Time: 9.32 seconds
Mean Squared Error (MSE): 1412709.3721507036
Mean Absolute Error (MAE): 976.4266469527264
Huber Loss: 975.9266357421875
R-squared: -29341.56566079028
SMAPE: 95.99519747672893


# LSTM Input: (192, 128, 128, 0.698)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | -121 | 8 | -28 | -46 | 162 | -17 | 1 |
| Prediction Trend | Down | Down | Down | Down | Up | Down | Down |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.698
Training Time: 10.10 seconds
Mean Squared Error (MSE): 5945.206758954676
Mean Absolute Error (MAE): 60.30678120519028
Huber Loss: 59.8076057434082
R-squared: -137.2109868296113
SMAPE: 81.66357089550405


# LSTM Input: (192, 128, 128, 0.573)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | -154 | 122 | -16 | 23 | -29 | -17 | -28 |
| Prediction Trend | Down | Up | Down | Down | Down | Down | Down |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.573
Training Time: 9.96 seconds
Mean Squared Error (MSE): 6638.9686420477365
Mean Absolute Error (MAE): 64.31983091717674
Huber Loss: 63.82060241699219
R-squared: -178.1996931828578
SMAPE: 85.4213246452691


# LSTM Input: (192, 128, 128, 0.216)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 8 | 19 | 25 | 33 | 43 | 4 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.216
Training Time: 9.69 seconds
Mean Squared Error (MSE): 51.32211388343792
Mean Absolute Error (MAE): 5.401921181451707
Huber Loss: 4.925450801849365
R-squared: -0.01790857529261409
SMAPE: 19.2988570212587


# LSTM Input: (192, 128, 128, 0.091)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 8 | 17 | 25 | 32 | 42 | 4 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.091
Training Time: 12.39 seconds
Mean Squared Error (MSE): 50.716934395832446
Mean Absolute Error (MAE): 5.359771097598433
Huber Loss: 4.879749298095703
R-squared: -0.007170476762941723
SMAPE: 19.159210044322343


# LSTM Input: (192, 128, 128, 0.956)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | -728 | -359 | -1444 | 2492 | -772 | 214 | 347 |
| Prediction Trend | Down | Down | Down | Up | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.956
Training Time: 9.64 seconds
Mean Squared Error (MSE): 1231569.0031333205
Mean Absolute Error (MAE): 850.0353153514213
Huber Loss: 849.5353393554688
R-squared: -17351.64001856232
SMAPE: 98.30745106439757


# LSTM Input: (192, 128, 128, 0.831)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 28 | 9 | 27 | 36 | 49 | 2 | 8 |
| Prediction Trend | Up | Down | Down | Down | Up | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.831
Training Time: 12.24 seconds
Mean Squared Error (MSE): 120.09980916739651
Mean Absolute Error (MAE): 8.053233530853882
Huber Loss: 7.571807861328125
R-squared: -1.860057104824704
SMAPE: 26.006949316759425


# LSTM Input: (192, 128, 128, 0.706)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | -339 | -594 | -580 | -267 | 346 | 64 | 31 |
| Prediction Trend | Down | Down | Down | Down | Up | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.706
Training Time: 9.58 seconds
Mean Squared Error (MSE): 149669.18517548722
Mean Absolute Error (MAE): 321.59710980759183
Huber Loss: 321.09710693359375
R-squared: -2312.538568313892
SMAPE: 89.40899244334962


# LSTM Input: (192, 128, 128, 0.581)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 31 | 22 | 34 | 36 | 36 | 3 | 7 |
| Prediction Trend | Up | Up | Up | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.581
Training Time: 10.25 seconds
Mean Squared Error (MSE): 140.46895914710586
Mean Absolute Error (MAE): 8.86880986909477
Huber Loss: 8.377904891967773
R-squared: -2.290234182042652
SMAPE: 25.519640183736353


# LSTM Input: (192, 128, 128, 0.224)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 8 | 18 | 24 | 38 | 43 | 4 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.224
Training Time: 10.19 seconds
Mean Squared Error (MSE): 52.99302361651177
Mean Absolute Error (MAE): 5.361574958781807
Huber Loss: 4.885317802429199
R-squared: -0.038677911574855194
SMAPE: 19.26715368622021


# LSTM Input: (192, 128, 128, 0.099)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 9 | 17 | 26 | 34 | 42 | 4 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.099
Training Time: 12.09 seconds
Mean Squared Error (MSE): 50.42784767844039
Mean Absolute Error (MAE): 5.323013745603107
Huber Loss: 4.85825252532959
R-squared: -0.0032817227745233052
SMAPE: 19.095070484580233


# LSTM Input: (192, 128, 128, 0.038)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 8 | 16 | 26 | 34 | 42 | 4 | 8 |
| Prediction Trend | Up | Up | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.038
Training Time: 27.51 seconds
Mean Squared Error (MSE): 50.301478978026694
Mean Absolute Error (MAE): 5.312922373920881
Huber Loss: 4.843709945678711
R-squared: -0.001238303603634559
SMAPE: 19.07743989005857


# LSTM Input: (192, 128, 128, 0.964)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 1962 | -4234 | 1162 | 3657 | -1352 | 412 | -413 |
| Prediction Trend | Up | Down | Up | Up | Down | Up | Down |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.964
Training Time: 8.89 seconds
Mean Squared Error (MSE): 5511957.118612974
Mean Absolute Error (MAE): 1883.6145658428163
Huber Loss: 1883.1143798828125
R-squared: -86501.72871002123
SMAPE: 98.72054914275246


# LSTM Input: (192, 128, 128, 0.839)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | -50 | -665 | -54 | -880 | 1309 | 8 | -88 |
| Prediction Trend | Down | Down | Down | Down | Up | Up | Down |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.839
Training Time: 9.67 seconds
Mean Squared Error (MSE): 432556.4022296152
Mean Absolute Error (MAE): 455.7608354237614
Huber Loss: 455.26116943359375
R-squared: -7756.1995321250415
SMAPE: 94.07677396961094


# LSTM Input: (192, 128, 128, 0.714)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 37 | 6 | 24 | 9 | 39 | 8 | 9 |
| Prediction Trend | Up | Down | Down | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.714
Training Time: 19.89 seconds
Mean Squared Error (MSE): 276.54399123225613
Mean Absolute Error (MAE): 12.17735222975413
Huber Loss: 11.695734977722168
R-squared: -4.719962760218634
SMAPE: 34.99066305112022


# LSTM Input: (192, 128, 128, 0.589)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 1 | 21 | 83 | 43 | 26 | 11 | 9 |
| Prediction Trend | Down | Up | Up | Up | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.589
Training Time: 9.89 seconds
Mean Squared Error (MSE): 600.9072750848753
Mean Absolute Error (MAE): 15.694469855249334
Huber Loss: 15.208268165588379
R-squared: -7.304365074128406
SMAPE: 37.34820094371877


# LSTM Input: (192, 128, 128, 0.428)
| Series | Number 1 | Number 2 | Number 3 | Number 4 | Number 5 | Star 1 | Star 2 |
|---|---|---|---|---|---|---|---|
| Last Recorded | 7 | 10 | 31 | 41 | 46 | 1 | 5 |
| Prediction | 7 | 23 | 31 | 35 | 41 | 5 | 9 |
| Prediction Trend | Up | Up | Up | Down | Down | Up | Up |
| Actual Trend | Down | Down | Down | Down | Down | Up | Up |
| Actual Series | 2 | 3 | 17 | 40 | 44 | 4 | 8 |
First layer: 192
Second_layer: 128
Dense_layer: 128
Learning rate: 0.428
Training Time: 9.57 seconds
Mean Squared Error (MSE): 62.403478750621204
Mean Absolute Error (MAE): 5.905947806883832
Huber Loss: 5.428943157196045
R-squared: -0.21130025562917593
SMAPE: 20.23534987319043