Run experiments tuning random forest params

Author: dberenbaum

dvc.lock

@@ -57,14 +57,14 @@ stages:
       size: 1666
     params:
       params.yaml:
-        train.min_split: 0.01
-        train.n_est: 50
+        train.min_split: 8
+        train.n_est: 100
         train.seed: 20170428
     outs:
     - path: model.pkl
       hash: md5
-      md5: d1f6e055f7f5e2827fcfae68d9b64d4c
-      size: 1958115
+      md5: 63cd44fd46b7f76875dc9556a2000cb5
+      size: 10322743
   evaluate:
     cmd: python src/evaluate.py model.pkl data/features
     deps:
@@ -75,15 +75,15 @@ stages:
       nfiles: 2
     - path: model.pkl
       hash: md5
-      md5: d1f6e055f7f5e2827fcfae68d9b64d4c
-      size: 1958115
+      md5: 63cd44fd46b7f76875dc9556a2000cb5
+      size: 10322743
     - path: src/evaluate.py
       hash: md5
       md5: a1a59f55636170fb56e0c6afd3e28fa4
       size: 3315
     outs:
     - path: eval
       hash: md5
-      md5: 843f7816d0f99e3b1fd1717c54856dc4.dir
-      size: 1292360
+      md5: bc55587cf8d870b9f861907fe0864d68.dir
+      size: 1186900
       nfiles: 8

params.yaml

@@ -8,6 +8,6 @@ featurize:
 
 train:
   seed: 20170428
-  n_est: 50
-  min_split: 0.01
+  n_est: 100
+  min_split: 8