sklearn.ensemble.BaggingClassifier
scikit-learn.org/stable/modules/generated/sklearn.ensemble.BaggingClassifier.html
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When random subsets of the dataset are drawn as random subsets of the features, then the method is known as Random Subspaces
If samples are drawn with replacement, then the method is known as Bagging [2]
If float, then draw max_samples * X.shape[0] samples.
If float, then draw max(1, int(max_features * n_features_in_)) features.
Whether to use out-of-bag samples to estimate the generalization error. Only available if bootstrap=True.
X{array-like, sparse matrix} of shape (n_samples, n_featur
base_estimator='deprecated'
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