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-Trees1.随机森林:from sklearn.ensemble import RandomForestClassifierrf_clf = RandomForestClassifier(n_estimators=500, random_state=666, oob_score=True)rf_clf.fit(X, y)rf_clf.oo
·
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_
更多推荐
已为社区贡献39条内容
所有评论(0)