Exercise

Precision-recall curve

Another way to evaluate model performance is using a precision-recall curve, which shows the tradeoff between precision and recall for different thresholds.

On the right, a precision-recall curve has been generated. Spend some time studying it and then select the statement below that is not true.

Instructions

50 XP

Possible answers

This curves summarize the tradeoff between the true positive rate and the positive predictive value.

A high area under the curve represents both high recall and high precision.

Recall is synonymous with specificity, and precision is identical with positive predictive value.

Precision-recall curves tend to be more informative when you have imbalanced classes.