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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
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Package details |
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| Author | Gregory Hilleren <Gregory.Hilleren@gmail.com> |
| Maintainer | Gregory Hilleren <Gregory.Hilleren@gmail.com> |
| License | CC0 |
| Version | 0.1.0 |
| URL | https://github.com/GregHilleren/SoftRandomForest |
| Package repository | View on CRAN |
| Installation |
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