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recall calculate confusion matrix .ravel()

# tn = True Negative
# fp = False Positive
# fn = False Negative
# tp = True Positive

tn, fp, fn, tp = confusion_matrix(y_test,y_pred).ravel()

#Specificity
specificity = tn/(tn+fp)

# Recall
recall = tp/(tp+fn)

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recall calculate confusion matrix .ravel()

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