Performance Evaluation of Hypocrite Classifier

Let’s see how the different hypocrite classifiers perform at the four metrics depending on the weight.

Metrics of the hypocrite classifier

l_precision = list(map(lambda step: precision_score(train_labels, l_predictions[step]),steps))
l_recall = list(map(lambda step: recall_score(train_labels, l_predictions[step]),steps))
l_specificity = list(map(lambda step: specificity(l_cm[step]),steps))
l_npv = list(map(lambda step: npv(l_cm[step]),steps))

In these four lines, we calculate the four metrics at each step. Let’s visualize them.