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based on the confusion matrix(Test) what is the precision for positive cases, recall rate for the positive case, and f1 score for the positive case?

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based on the confusion matrix(Test)

what is the precision for positive cases, recall rate for the positive case, and f1 score for the positive case?

[ 27, 55]]) In [69]: pred_test = model.predict(x_test) In [70]: confusion_matrix(yftest, pred_test). Out [70]: array( [[4813, 106), | 28, 53]]) (1+95*995/15) 16:13/ 16:52 Out (73): 0.00015866299978844933

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