Accuracy

Boosting is a robust ensemble studying approach in machine studying (ML) that improves mannequin accuracy by decreasing errors. By coaching sequential fashions to handle prior shortcomings, boosting creates sturdy predictive methods. This information covers how boosting works; its benefits, challenges, and purposes; and the way it compares to bagging. Desk of contents What’s boosting? Boosting…