Stacking Stacking works in two phases. First, we use multiple base classifiers to predict the class. Second, a new learner is used to combine their predictions with the aim of reducing the generalization error. Boosting
Stacking Stacking works in two phases. First, we use multiple base classifiers to predict the class. Second, a new learner is used to combine their predictions with the aim of reducing the generalization error.