Binary Classification, Confusion Matrix, Precision, Recall, F Score.
values how many of them have been truly predicted as true positives. In this particular scenario, our aim is to reduce False Positive(FP). We can denote this by an equation. TP / (TP + FP) As an example in the Spam Classification if any spam mail remains undetected (false negative) it is okay, but