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The Precision-Recall Plot Is More Informative than the ROC Plot When Evaluating Binary Classifiers on Imbalanced Datasets

Fig 2

PRC curves have one-to-one relationships with ROC curves.

(A) The ROC space contains one basic ROC curve and points (black) as well as four alternative curves and points; tied lower bound (green), tied upper bound (dark yellow), convex hull (light blue), and default values for missing prediction data (magenta). The numbers next to the ROC points indicate the ranks of the scores to calculate FPRs and TPRs from 10 positives and 10 negatives (See Table A in S1 File for the actual scores). (B) The PRC space contains the PR points corresponding to those in the ROC space.

Fig 2

doi: https://doi.org/10.1371/journal.pone.0118432.g002