SoftRandomForest (version 0.1.0)

Classification Random Forests for Soft Decision Trees

Description

Performs random forests for soft decision trees for a classification problem. Current limitations are for a maximum depth of 5 resulting in 16 terminal nodes. Some data cleaning is required before input. Final graphic output requires currently requires exporting to 'Microsoft Excel' for visualization. Method based on Irsoy, Yildiz and Alpaydin (2012, ISBN: 978-4-9906441-1-6).

Copy Link

Version

Down Chevron

Install

install.packages('SoftRandomForest')

Monthly Downloads

11

Version

0.1.0

License

CC0

Issues

Pull Requests

Stars

Forks

Last Published

May 15th, 2019

Functions in SoftRandomForest (0.1.0)