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visualpred

Visualization 2D of Binary Classification Models

v0.1.2 · Oct 19, 2025 · GPL (>= 3)

Description

Visual contour and 2D point and contour plots for binary classification modeling under algorithms such as 'glm', 'rf', 'gbm', 'nnet' and 'svm', presented over two dimensions generated by 'famd' and 'mca' methods. Package 'FactoMineR' for multivariate reduction functions and package 'MBA' for interpolation functions are used. The package can be used to visualize the discriminant power of input variables and algorithmic modeling, explore outliers, compare algorithm behaviour, etc. It has been created initially for teaching purposes, but it has also many practical uses under the 'XAI' paradigm.

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r-devel-linux-x86_64-debian-clang OK
r-devel-linux-x86_64-debian-gcc OK
r-devel-linux-x86_64-fedora-clang OK
r-devel-linux-x86_64-fedora-gcc OK
r-devel-windows-x86_64 OK
r-oldrel-macos-arm64 OK
r-oldrel-macos-x86_64 OK
r-oldrel-windows-x86_64 OK
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Check History

OK 13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Jun 9, 2026
ERROR 12 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE Jun 8, 2026
ERROR r-devel-linux-x86_64-debian-gcc

package dependencies

Package required but not available: ‘FactoMineR’

See section ‘The DESCRIPTION file’ in the ‘Writing R Extensions’
manual.
WARNING 12 OK · 0 NOTE · 1 WARNING · 0 ERROR · 0 FAILURE Jun 7, 2026
WARNING r-devel-linux-x86_64-debian-gcc

for missing documentation entries

Fatal error: cannot create 'R_TempDir'
All user-level objects in a package should have documentation entries.
See chapter ‘Writing R documentation files’ in the ‘Writing R
Extensions’ manual.
OK 14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 10, 2026

Dependency Network

Dependencies Reverse dependencies gbm randomForest nnet e1071 MASS (>= 7.3.51.4) magrittr FactoMineR ggplot2 mltools dplyr data.table MBA pROC ggrepel visualpred

Version History

4 tracked
new 0.1.2 Mar 10, 2026
updated 0.1.2 ← 0.1.1 diff Oct 18, 2025
updated 0.1.1 ← 0.1.0 diff Nov 6, 2024
new 0.1.0 Oct 23, 2020