Python3入门机器学习之11.4随机森林和Extra-Trees

Python3入门机器学习

11.4 随机森林和Extra-Trees

1.随机森林：

from sklearn.ensemble import RandomForestClassifier

rf_clf = RandomForestClassifier(n_estimators=500, random_state=666, oob_score=True)
rf_clf.fit(X, y)
rf_clf.oob_score_

2.Extra-Trees：

from sklearn.ensemble import ExtraTreesClassifier

et_clf = ExtraTreesClassifier(n_estimators=500, bootstrap=True, oob_score=True, random_state=666)
et_clf.fit(X, y)
et_clf.oob_score_