Created
February 14, 2022 10:43
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| def f(Y_pred_proba, Y_test, thresholds): | |
| Y_pred = Y_pred_proba > thresholds | |
| mlcm = multilabel_confusion_matrix(Y_test, Y_pred) | |
| cm = mlcm.sum(axis=0) | |
| tn, fp, fn, tp = cm.ravel() | |
| f1 = tp / ( tp+ (fp+fn) / 2) | |
| return f1 |
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