SoftRandomForest: Classification Random Forests for Soft Decision Trees

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).

Getting started

Package details

AuthorGregory Hilleren <>
MaintainerGregory Hilleren <>
Package repositoryView on CRAN
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SoftRandomForest documentation built on May 15, 2019, 5:05 p.m.