What is precision recall tradeoff ?

Tradeoff means increasing one parameter leads to decreasing of the other. Let us explain this in context to binary classification and first define what is precision and recall. Let us call one class as positive and other as negative. Then,  TP represents the true positives, which is the number of positive predictions which are actually positive….

What would you care more about – precision or recall for spam filtering problem?

To understand precision and recall, it is important to know about False positives(FP) : mail was NOT a SPAM but it WAS LABELLED as spam False negatives(FN): mail WAS a SPAM but was NOT LABELLED as spam True positives(TP): mail WAS a SPAM and also LABELLED as spam True negatives(TN): mail was NOT a SPAM and also LABELLED as…