Bootstrapping is a method that introduces ___________ in the…

Bootstrapping is a method that introduces ___________ in the subsets for training of each predictor, therefore bagging ends up with a slightly higher bias than pasting. This also leads to the predictors being less correlated, therefore the ensemble’s variance is reduced and bagging usually results in better models as a result