Boosting technique revolutionizes regression, unlocking powerful predictive capabilities.
Boosting is a powerful learning technique that combines the predictions of many weak classifiers to create a strong committee. Originally used for classification, it can also be applied to regression problems. Boosting differs from other committee-based methods like bagging, as it has its unique approach.