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Feature Selection Methods for Cost-Constrained Classification in Random Forests
Cost-sensitive feature selection describes a feature selection problem, where features raise individual costs for inclusion in a model.
Implications on Feature Detection when using the Benefit-Cost Ratio
In situations with large cost differences and small effect sizes, the BCR missed relevant features and preferred cheap noise features.
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