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cff-version: 1.2.0
message: 'To cite package "visualpred" in publications use:'
type: software
license: GPL-3.0-or-later
title: 'visualpred: Visualization 2D of Binary Classification Models'
version: 0.1.1
doi: 10.32614/CRAN.package.visualpred
abstract: 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:
- family-names: Portela
  given-names: Javier
  email: javipgm@gmail.com
  orcid: https://orcid.org/0000-0002-5284-5123
repository: https://CRAN.R-project.org/package=visualpred
date-released: '2024-11-07'
contact:
- family-names: Portela
  given-names: Javier
  email: javipgm@gmail.com
  orcid: https://orcid.org/0000-0002-5284-5123