Created
April 18, 2019 15:32
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| from sklearn.metrics import roc_auc_score | |
| def auc_score(y_score,y_true): | |
| return torch.tensor(roc_auc_score(y_true,y_score[:,1])) | |
| probs,val_labels = learn.get_preds(ds_type=DatasetType.Valid) | |
| print('Accuracy',accuracy(probs,val_labels)), | |
| print('Error Rate', error_rate(probs, val_labels)) | |
| print('AUC', auc_score(probs,val_labels)) |
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