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, Rousseeuw and Hubert (2021), Class maps for visualizing classification results, Technometrics, appeared online. (open access) and Raymaekers and Rousseeuw (2021), Silhouettes and quasi residual plots for neural nets and tree-based classifiers, . 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".


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Reference manual

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install.packages("classmap")

1.1.1 by Jakob Raymaekers, 2 months ago


https://doi.org/10.1080/00401706.2021.1927849, https://arxiv.org/abs/2106.08814


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


Authors: Jakob Raymaekers [aut, cre] , Peter Rousseeuw [aut]


Documentation:   PDF Manual  


GPL (>= 2) license


Imports stats, graphics, ggplot2, robustbase, e1071, cellWise, cluster, kernlab, gridExtra, rpart, randomForest

Suggests knitr, reshape2, svd, rpart.plot, nnet


See at CRAN