ROCit
cranv2.1.2Performance Assessment of Binary Classifier with Visualization. Sensitivity (or recall or true positive rate), false positive rate, specificity, precision (or positive predictive value), negative predictive value, misclassification rate, accuracy, F-score- these are popular metrics for assessing performance of binary classifier for certain threshold. These metri
License GPL-3strong copyleft0 versions1 maintainers4 deps297 weekly dl
https://CRAN.R-project.org/package=ROCit41
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curl https://depscope.dev/api/check/cran/ROCitFirst published · 2024-05-16 15:50:04
Last updated · 2024-05-16T13:30:02+00:00