Permutation and drop-column importance for scikit-learn random forests and other models
Project description
A library that provides feature importances, based upon the permutation importance strategy, for general scikit-learn models and implementations specifically for random forest out-of-bag scores. Built by Terence Parr and Kerem Turgutlu. See <a href=”http://explained.ai/rf-importance/index.html”>Beware Default Random Forest Importances</a> for a deeper discussion of the issues surrounding feature importances in random forests.
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