Statistical Classification R package MKclass version 0.5 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), <doi:10.1016/B978-1-55860-247-2.50035-8>) for all implemented performance measures. Hosmer-Lemeshow goodness of fit tests (Lemeshow and Hosmer (1982), <doi:10.1093/oxfordjournals.aje.a113284>; Hosmer et al (1997), <doi:10.1002/(SICI)1097-0258(19970515)16:9%3C965::AID-SIM509%3E3.0.CO;2-O>). Statistical and epidemiological risk measures such as relative risk, odds ratio, number needed to treat (Porta (2014), <doi:10.1093%2Facref%2F9780199976720.001.0001>). Software Depends: R(>= 4.0.0) Imports: stats Suggests: knitr, rmarkdown, foreach, parallel, doParallel Matthias Kohl <Matthias.Kohl@stamats.de> Comprehensive R Archive Network (CRAN) Matthias Kohl [aut, cre] (ORCID: <https://orcid.org/0000-0001-9514-8910>) LGPL-3 2023-09-17 application/tgz https://CRAN.R-project.org/package=MKclass doi:10.32614/CRAN.package.MKclass