Feature Selection

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Choosing the most relevant features to reduce dimensionality, improve model performance, and reduce overfitting.

Techniques

Correlation Analysis — remove highly correlated or low-correlation features
Mutual Information — measure statistical dependence between feature and target
Recursive Feature Elimination — iteratively remove least important features