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_
因篇幅问题不能全部显示，请点此查看更多更全内容