Bagging Trend 2026

Bagging, short for Bootstrap Aggregating, is an ensemble machine learning technique that reduces variance and improves prediction stability. It works by training multiple models on random subsets of data, then averaging their outputs. Data scientists and machine learning engineers benefit most, using it to enhance accuracy in decision trees and prevent overfitting.