ROCit: Performance 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 metrics are calculated at certain threshold values. Receiver operating characteristic (ROC) curve is a common tool for assessing overall diagnostic ability of the binary classifier. Unlike depending on a certain threshold, area under ROC curve (also known as AUC), is a summary statistic about how well a binary classifier performs overall for the classification task. ROCit package provides flexibility to easily evaluate threshold-bound metrics. Also, ROC curve, along with AUC, can be obtained using different methods, such as empirical, binormal and non-parametric. ROCit encompasses a wide variety of methods for constructing confidence interval of ROC curve and AUC. ROCit also features the option of constructing empirical gains table, which is a handy tool for direct marketing. The package offers options for commonly used visualization, such as, ROC curve, KS plot, lift plot. Along with in-built default graphics setting, there are rooms for manual tweak by providing the necessary values as function arguments. ROCit is a powerful tool offering a range of things, yet it is very easy to use.

Version: 1.1.1
Imports: stats, graphics
Suggests: testthat, knitr, rmarkdown
Published: 2019-01-30
Author: Md Riaz Ahmed Khan [aut, cre], Thomas Brandenburger [aut]
Maintainer: Md Riaz Ahmed Khan <mdriazahmed.khan at jacks.sdstate.edu>
License: GPL-3
NeedsCompilation: no
Materials: README NEWS
CRAN checks: ROCit results

Downloads:

Reference manual: ROCit.pdf
Vignettes: ROCit: An R Package for Performance Assessment of Binary Classifier with Visualization
Package source: ROCit_1.1.1.tar.gz
Windows binaries: r-devel: ROCit_1.1.1.zip, r-release: ROCit_1.1.1.zip, r-oldrel: ROCit_1.1.1.zip
OS X binaries: r-release: ROCit_1.1.1.tgz, r-oldrel: ROCit_1.1.1.tgz

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