Overfitting

Bagging is an ensemble machine studying (ML) method that improves the consistency of predictive fashions. This information describes how bagging works, discusses its benefits, challenges, and purposes, and compares it to associated methods like boosting. Desk of contents What’s bagging? Bagging (or, extra formally, bootstrap aggregating) is an ensemble studying method that improves output accuracy…