Bootstrap Validation

Bootstrap Aggregating (Bagging)

Ensemble method that trains multiple models on different bootstrap samples and combines their predictions through majority voting or averaging to reduce variance and improve predictive stability. Bagging is particularly effective for unstable algorithms like decision trees.

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