I have read the Guide of sklearn's RandomForest :
"""
In random forests (see RandomForestClassifier
<http://scikit-learn.org/stable/modules/generated/sklearn.ensemble.RandomForestClassifier.html#sklearn.ensemble.RandomForestClassifier>
and RandomForestRegressor
<http://scikit-learn.org/stable/modules/generated/sklearn.ensemble.RandomForestRegressor.html#sklearn.ensemble.RandomForestRegressor>
classes), each tree in the ensemble is built from a sample drawn with
replacement (i.e., a bootstrap sample) from the training set.
"""
But I prefer RandomForest as :
"""
features ("attributes", "predictors", "independent variables") are randomly
sampled
"""
is RandomForest random samples or random features? where can I find a
features random version of RandomForest?
thx.
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