vccs
Composable charting components for Vue 3, ported from Recharts
Accurate calculations and visualization of precision-recall and ROC (Receiver Operator Characteristics) curves. Saito and Rehmsmeier (2015) <doi:10.1371/journal.pone.0118432>.
Translation pending
DataR · C++GitHub @evalclassOnlineOwner unconfirmed
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An R library for accurate and fast calculations of Precision-Recall and ROC curves
Taken from the repository README
Loading the full README. The saved excerpt is shown below.
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.Read the full README ↗The full README is unavailable right now. Read it at the original link. The saved excerpt is shown below.
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.Read the full README ↗