Package: visualpred 0.1.1

Javier Portela

visualpred: Visualization 2D of Binary Classification Models

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.

Authors:Javier Portela [aut, cre]

visualpred_0.1.1.tar.gz
visualpred_0.1.1.tar.gz(r-4.5-noble)visualpred_0.1.1.tar.gz(r-4.4-noble)
visualpred_0.1.1.tgz(r-4.4-emscripten)visualpred_0.1.1.tgz(r-4.3-emscripten)
visualpred.pdf |visualpred.html
visualpred/json (API)
NEWS

# Install 'visualpred' in R:
install.packages('visualpred', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Datasets:
  • Hmda - Home Mortgage Disclosure Act dataset
  • breastwisconsin1 - Breast Cancer Winsconsin dataset
  • nba - Nba dataset
  • pima - Pima indian diabetes dataset
  • spiral - Spiral sample data

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

2.64 score 11 scripts 17 downloads 5 exports 110 dependencies

Last updated 29 days agofrom:e65a36e3e1. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 08 2024
R-4.5-linuxOKNov 08 2024

Exports:famdcontourfamdcontourlabelmcacontourmcacontourjitmcamodelobis

Dependencies:abindbackportsbase64encBHbootbroombslibcachemcarcarDataclasscliclustercolorspacecowplotcpp11crosstalkdata.tableDerivdigestdoBydplyrDTe1071ellipseemmeansestimabilityevaluateFactoMineRfansifarverfastmapflashClustfontawesomeFormulafsgbmgenericsggplot2ggrepelgluegtablehighrhtmltoolshtmlwidgetshttpuvisobandjquerylibjsonliteknitrlabelinglaterlatticelazyevalleapslifecyclelme4magrittrMASSMatrixMatrixModelsMBAmemoisemgcvmicrobenchmarkmimeminqamltoolsmodelrmultcompViewmunsellmvtnormnlmenloptrnnetnumDerivpbkrtestpillarpkgconfigplyrpROCpromisesproxypurrrquantregR6randomForestrappdirsRColorBrewerRcppRcppEigenrlangrmarkdownsassscalesscatterplot3dSparseMstringistringrsurvivaltibbletidyrtidyselecttinytexutf8vctrsviridisLitewithrxfunyaml

Advanced settings

Rendered fromAdvanced.Rmdusingknitr::knitron Nov 08 2024.

Last update: 2020-10-24
Started: 2020-10-24

Comparing algorithms

Rendered fromComparing.Rmdusingknitr::knitron Nov 08 2024.

Last update: 2020-10-24
Started: 2020-10-24

Plotting outliers

Rendered fromOutliers.Rmdusingknitr::knitron Nov 08 2024.

Last update: 2020-10-24
Started: 2020-10-24

visualpred package

Rendered fromBasic_example.Rmdusingknitr::knitron Nov 08 2024.

Last update: 2020-10-24
Started: 2020-10-24