I just started using scikit-learn and was learning about the BaggingClassifier. I am a little confused on what bootstrap means. The meaning on the scikit-learn website doesn't make sense. Just asking for a little help. Thanks.
Bootstrapping methods resample from the data with replacement to "fake more data". You've got many good explanations in stats SE. For bagging this means sampling from the training data a "new" data set for each base estimator that is fitted.