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mRMR (Minimum Redundancy Maximum Relevance)
Selection criterion optimizing the trade-off between maximum relevance of features with the target and their minimum mutual redundancy.
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Univariate Feature Selection
Approach evaluating each feature independently against the target variable without considering interactions between variables.
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Multivariate Feature Selection
Technique considering simultaneously the relationships and interactions between multiple features to optimize the global selection.
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