Lembre -se de calcular a matriz de confusão .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)
NotACoder