How Ensemble technique solves the high variance issue with Decision trees?
Ensemble technique solves the high variance issue with Decision trees
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How Ensemble technique
Decision Trees are notoriously famous for overfitting. Bagging exploit this weakness of Decision Trees to its advantage. Each tree is fed with a different subset of data and the make predictions which are significantly different from one another. By aggregating their outputs bagging averages out the polar tendencies and thus significantly improves generalization.