classmap: Visualizing Classification Results

Tools to visualize the results of a classification of cases. The graphical displays include stacked plots, silhouette plots, quasi residual plots, and class maps. Implements the techniques described and illustrated in Raymaekers J., Rousseeuw P.J., Hubert M. (2021). Class maps for visualizing classification results. \emph{Technometrics}, 64(2), 151–165. \doi{10.1080/00401706.2021.1927849} (open access) and Raymaekers J., Rousseeuw P.J.(2021). Silhouettes and quasi residual plots for neural nets and tree-based classifiers. \emph{Journal of Computational and Graphical Statistics}, 31(4), 1332–1343. \doi{10.1080/10618600.2022.2050249}. Examples can be found in the vignettes: "Discriminant_analysis_examples","K_nearest_neighbors_examples", "Support_vector_machine_examples", "Rpart_examples", "Random_forest_examples", and "Neural_net_examples".

Package details

AuthorJakob Raymaekers [aut, cre], Peter Rousseeuw [aut]
MaintainerJakob Raymaekers <jakob.raymaekers@kuleuven.be>
LicenseGPL (>= 2)
Version1.2.4
URL https://doi.org/10.1080/00401706.2021.1927849 https://doi.org/10.1080/10618600.2022.2050249
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("classmap")

Try the classmap package in your browser

Any scripts or data that you put into this service are public.

classmap documentation built on June 8, 2025, 10:56 a.m.