sklearn DecisionTreeClassifier中的根节点特征选择
The root node feature selection in sklearn DecisionTreeClassifier
我试着去理解，算法select如何为根节点提供特征。为此使用了哪些标准和阈值？
根据documentation for DecisionTreeClassifier in scikit-learn (using the default arguments) the algorithm will consider every possible feature and every possible split on that feature and the split with the greatest quality according to the criterion measure, (in other words: the split that produces the best separation of all the classes) will be chosen first and placed into the root node. More explanation on your specific problem can be obtained by following this scikit-learn tool。
我试着去理解，算法select如何为根节点提供特征。为此使用了哪些标准和阈值？
根据documentation for DecisionTreeClassifier in scikit-learn (using the default arguments) the algorithm will consider every possible feature and every possible split on that feature and the split with the greatest quality according to the criterion measure, (in other words: the split that produces the best separation of all the classes) will be chosen first and placed into the root node. More explanation on your specific problem can be obtained by following this scikit-learn tool。