visualpred
0.1.2Visualization 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.
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- OK2026-06-0913 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- ERROR2026-06-0812 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
- WARNING2026-06-0712 OK · 0 NOTE · 1 WARNING · 0 ERROR · 0 FAILURE
- OK2026-03-1014 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
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People & History
3 releases. R releases are shown for context.
- RR 4.6.0 released · 2026-04-24
- 0.1.2Latest
- RR 4.5.0 released · 2025-04-11
- 0.1.12024-11-07 · diff ↗
- unarchivedReturned to CRAN2024-11-07
- 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
- 3 / 6 yrs
- License
- GPL (>= 3) OSI
- Download size
- 1.2 MB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet