Visualization 2D of Binary Classification Models
Overview
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.
Install
Health
- OK13 OK2026-08-04
- NOTE12 OK, 1 NOTE2026-08-01
- OK13 OK2026-06-09
- ERROR12 OK, 1 ERROR2026-06-08
- WARNING12 OK, 1 WARNING2026-06-07
Show 1 earlier changeHide 1 earlier change
- OK14 OK2026-03-10
Documentation
- Help pages
- 10
- Examples that run
- 100%5 run in a plain check
- Exported functions with examples
- 100%
- Documented parameters
- 86%
- Return-value docs
- 100%
- Help pages citing references
- 10%
Downloads
Dependencies
Code & Tests
Datasets
People & History
Pick two releases to compare their code metrics.
- 0.1.3Latest
- RR 4.6.0 released · 2026-04-24
- 0.1.22025-10-19 · diff ↗
- RR 4.5.0 released · 2025-04-11
- unarchivedReturned to CRAN2024-11-07
- 0.1.12024-11-07 · diff ↗
- archivedRemoved from CRAN2024-07-16issues were not corrected in time
- RR 4.4.0 released · 2024-04-24
- RR 4.3.0 released · 2023-04-21
- RR 4.2.0 released · 2022-04-22
- RR 4.1.0 released · 2021-05-18
- 0.1.02020-10-24
- RR 4.0.0 released · 2020-04-24
Package metadata
- First published
- 2020-10-24
- Total releases
- 4 / 6 yrs
- License
- GPL (>= 3) OSI
- Minimum R
- ≥ 3.5.0
- Bundled data
- 120 KB / 5 files
- Download size
- 1.2 MB
Cite
Cite this package
Run in R for the authors' preferred citation:
citation("visualpred")This package has no citation file, so citation() returns this entry built from DESCRIPTION.
Cite the R Observatory
For a number measured here: a download total, a coverage figure, an archival date.
From data release v2026-10-20, which the citation names so these numbers can be found later. More on citing and the projects behind them.