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source/classification2.md
@@ -1651,7 +1651,7 @@ each estimate having a standard error around {glue:text}`mean_sem_acc_ks`%.
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Since the cross-validation accuracy estimates the test set accuracy,
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the fact that the test set accuracy also doesn't change much is expected.
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Also note that the $K =$ 3 model had a precision
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-precision of {glue:text}`cancer_prec_1`% and recall of {glue:text}`cancer_rec_1`%,
+of {glue:text}`cancer_prec_1`% and recall of {glue:text}`cancer_rec_1`%,
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while the tuned model had
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a precision of {glue:text}`cancer_prec_tuned`% and recall of {glue:text}`cancer_rec_tuned`%.
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Given that the recall decreased—remember, in this application, recall
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