Fuzzy Forests: Extending Random Forest Feature Selection for Correlated, High-Dimensional Data
In this paper we introduce fuzzy forests, a novel machine learning algorithm for ranking the importance of features in high-dimensional classification and regression problems. Fuzzy forests is specifically designed to provide relatively unbiased rankings of variable importance in the presence of hig...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Foundation for Open Access Statistics
2019-10-01
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| Series: | Journal of Statistical Software |
| Subjects: | |
| Online Access: | https://www.jstatsoft.org/index.php/jss/article/view/2541 |