sklearn 的 Decision Trees
sklearn.tree的函数结构:
1、介绍:
are a non-parametric supervised learning method used for classification and regression. The goal is to create a model that predicts the value of a target variable by learning simple decision rules inferred from the data features.
(无参,可得到类别,也可得到一连续的回归结果)
2、Classification
函数:DecisionTreeClassifer
Alternatively, the probability of each class can be predicted, which is the fraction of training samples of the same class in a leaf:(可以预测每个类的概率,即同一类训练样本在叶片中的比例):
可将树进行可视化:
3、Regression