Accurate calculations and visualization of precision-recall and ROC (Receiver Operator Characteristics) curves. Saito and Rehmsmeier (2015) <doi:10.1371/journal.pone.0118432>.
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An R library for accurate and fast calculations of Precision-Recall and ROC curves
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precrec calculates and plots ROC and precision-recall curves for
binary classifiers. It is built for the case where the two curves
disagree: on an imbalanced dataset a ROC curve can look excellent while
the precision-recall curve shows the classifier is not usable. All the
main calculations are implemented in C++ through
Rcpp.查看完整 README ↗目前无法加载完整 README。请通过原文链接阅读。 以下为已保存的摘录。
precrec calculates and plots ROC and precision-recall curves for
binary classifiers. It is built for the case where the two curves
disagree: on an imbalanced dataset a ROC curve can look excellent while
the precision-recall curve shows the classifier is not usable. All the
main calculations are implemented in C++ through
Rcpp.查看完整 README ↗