Bagging (Bootstrap Aggregation)

An ensemble method that trains $B$ of the same type of classifiers on $B$ resampled datasets created by bootstrapping and creating a final classifier that’s just the majority vote of all the individual classifiers

Topics

• Random Forest Classifier