Recently I talked about metrics for inbalanced binary classification problems.

I had trouble properly explaining the Precision-Recall Curve in simple words.

Sometimes a nice visualization tells more than a thousand words.

So, I made this simple interactive chart:

\(Precision=\frac{TP}{TP+FP}\)

\(Recall=\frac{TP}{TP+FN}\)

\(TPR=\frac{TP}{TP+FN}\)

\(FPR=\frac{FP}{TN+FP}\)

References