Tools to visualize the results of a classification or a regression. The graphical displays include stacked plots, silhouette plots, quasi residual plots, class maps, predictions plots, and predictions correlation plots. Implements the techniques described and illustrated in Raymaekers J., Rousseeuw P.J., Hubert M. (2022). Class maps for visualizing classification results. \emph{Technometrics}, 64(2), 151â165. \doi{10.1080/00401706.2021.1927849} (open access), Raymaekers J., Rousseeuw P.J.(2022). Silhouettes and quasi residual plots for neural nets and tree-based classifiers. \emph{Journal of Computational and Graphical Statistics}, 31(4), 1332â1343. \doi{10.1080/10618600.2022.2050249}, and Rousseeuw, P.J. (2025). Explainable Linear and Generalized Linear Models by the Predictions Plot. <doi:10.48550/arXiv.2412.16980> (open access). Examples can be found in the vignettes: "Discriminant_analysis_examples","K_nearest_neighbors_examples", "Support_vector_machine_examples", "Rpart_examples", "Random_forest_examples", "Neural_net_examples", and "predsplot_examples".
Version: 1.2.6 Depends: R (≥ 4.1.0) Imports: stats, graphics, ggplot2, robustbase, e1071, cellWise, cluster, kernlab, gridExtra, rpart, randomForest, scales Suggests: knitr, reshape2, svd, rpart.plot, nnet, robCompositions, rmarkdown, fairml, robustHD Published: 2025-07-14 DOI: 10.32614/CRAN.package.classmap Author: Jakob Raymaekers [aut, cre], Peter Rousseeuw [aut] Maintainer: Jakob Raymaekers <jakob.raymaekers at kuleuven.be> License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] URL: https://doi.org/10.1080/00401706.2021.1927849, https://doi.org/10.1080/10618600.2022.2050249, https://arxiv.org/abs/2412.16980 NeedsCompilation: no CRAN checks: classmap results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=classmap to link to this page.
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