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visualpred  

Visualization 2D of Binary Classification Models
View on CRAN: Click here


Download and install visualpred package within the R console
Install from CRAN:
install.packages("visualpred")

Install from Github:
library("remotes")
install_github("cran/visualpred")

Install by package version:
library("remotes")
install_version("visualpred", "0.1.1")



Attach the package and use:
library("visualpred")
Maintained by
Javier Portela
[Scholar Profile | Author Map]
First Published: 2020-10-24
Latest Update: 2020-10-24
Description:
Visual 2D point and contour plots for binary classification modeling under algorithms such as glm(), randomForest(), 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.
How to cite:
Javier Portela (2020). visualpred: Visualization 2D of Binary Classification Models. R package version 0.1.1, https://cran.r-project.org/web/packages/visualpred. Accessed 01 May. 2025.
Previous versions and publish date:
0.1.0 (2020-10-24 11:40)
Other packages that cited visualpred R package
View visualpred citation profile
Other R packages that visualpred depends, imports, suggests or enhances
Complete documentation for visualpred
Functions, R codes and Examples using the visualpred R package
Some associated functions: Hmda . breastwisconsin1 . famdcontour . famdcontourlabel . mcacontour . mcacontourjit . mcamodelobis . nba . pima . spiral . 
Some associated R codes: Hmda.R . breast.R . famdcontour.R . famdcontourlabel.R . mcacontour.R . mcacontourjitter.R . mcamodelo.R . nba.R . pima.R . spiral.R .  Full visualpred package functions and examples
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