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).


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install.packages("SoftRandomForest")

0.1.0 by Gregory Hilleren, 2 months ago


https://github.com/GregHilleren/SoftRandomForest


Browse source code at https://github.com/cran/SoftRandomForest


Authors: Gregory Hilleren <[email protected]>


Documentation:   PDF Manual  


CC0 license


Imports boot, utils


See at CRAN