tomis9/decisionTree: Deciosion tree algorithm

Performs decision tree algorithm on given data. Algorithm uses entropy as a criterium of division on every node. Works both for qualititative and quantitative variables.

Getting started

Package details

Maintainer
LicenseMIT
Version0.0.0.9000
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("tomis9/decisionTree")
tomis9/decisionTree documentation built on May 29, 2019, 9:55 a.m.