The Relationship Between Precision-Recall and ROC Curves
PR
- Precision vs Recall
- better with highly skewed datasets
ROC recommended by Provost et al. (1998)
- Receiver Operator Characteristic
- True Positive Rate (fraction of positive examples correctly labeled) vs False Positive Rate (fraction of negative examples misclassified as positive)