classmap - Visualizing Classification Results
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), 151–165.
<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), 1332–1343.
<doi:10.1080/10618600.2022.2050249>, and Rousseeuw, P.J.
(2026). Explainable Linear and Generalized Linear Models by the
Predictions Plot. The American Statistician, 80, 157-163,
<doi:10.1080/00031305.2025.2539235> (open access), and
Montalcini, C., Rousseeuw, P.J. (2025). The bixplot: A
variation on the boxplot suited for bimodal data,
<doi:10.48550/arXiv.2510.09276> (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",
"predsplot_examples", and "bixplot_examples".
