Bagging (Bootstrap Aggregation)
#Computers
An ensemble method that trains $\displaystyle B$ of the same type of classifiers on $\displaystyle B$ resampled datasets created by bootstrapping and creating a final classifier that's just the majority vote of all the individual classifiers