CRAN/E | visualpred

visualpred

Visualization 2D of Binary Classification Models

Installation

About

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.

Key Metrics

Version 0.1.0
R ≥ 3.5.0
Published 2020-10-24 1252 days ago
Needs compilation? no
License GPL (≥ 3)
CRAN checks visualpred results

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Maintainer

Maintainer

Javier Portela

javipgm@gmail.com

Authors

Javier Portela

aut / cre

Material

Reference manual
Package source

Vignettes

Advanced settings
visualpred package
Comparing algorithms
Plotting outliers

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Depends

R ≥ 3.5.0

Imports

gbm
randomForest
nnet ≥ 7.3.12
e1071
MASS ≥7.3.51.4
magrittr
FactoMineR ≥ 2.3
ggplot2 ≥ 3.3.0
mltools
dplyr
data.table
MBA
pROC
ggrepel

Suggests

knitr
markdown
egg