Statistical Classification

Performance measures and scores for statistical classification such as accuracy, sensitivity, specificity, recall, similarity coefficients, AUC, GINI index, Brier score and many more. Calculation of optimal cut-offs and decision stumps (Iba and Langley (1991), ) for all implemented performance measures. Hosmer-Lemeshow goodness of fit tests (Lemeshow and Hosmer (1982), ; Hosmer et al (1997), ). Statistical and epidemiological risk measures such as relative risk, odds ratio, number needed to treat (Porta (2014), ).


Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.

install.packages("MKclass")

0.5 by Matthias Kohl, 3 years ago


https://github.com/stamats/MKclass


Browse source code at https://github.com/cran/MKclass


Authors: Matthias Kohl [aut, cre]


Documentation:   PDF Manual  


LGPL-3 license


Imports stats

Suggests knitr, rmarkdown, foreach, parallel, doParallel


See at CRAN