ExtraTreeClassifier
is an extremely randomized version of DecisionTreeClassifier
meant to be used internally as part of the ExtraTreesClassifier
ensemble.
Averaging ensembles such as a RandomForestClassifier
and ExtraTreesClassifier
are meant to tackle the variance problems (lack of robustness with respect to small changes in the training set) of individual DecisionTreeClassifier
instances.
If your main goal is maximizing prediction accuracy you should almost always use an ensemble of decision trees such as ExtraTreesClassifier
(or alternatively a boosting ensemble) instead of training individual decision trees.
Have a look at the original Extra Trees paper for more details.