Model Evaluation: Precision-Recall and ROC curves. On the PR Curve, with the increase of recall, precision remains at certain level until the recall reaches about 0.77, after which precision drops dramatically. On the ROC Curve, it shows recall remains between 0.7 to 0.8 with false positive detections increasing significantly.