klotz: feature engineering*

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  1. In this post, I’ll discuss random forests, another popular approach for feature ranking.

    Random forest feature importance
    Random forests are among the most popular machine learning methods thanks to their relatively good accuracy, robustness and ease of use. They also provide two straightforward methods for feature selection: mean decrease impurity and mean decrease accuracy.

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