当不允许安装graphviz或pydotplus时，是否有办法查看节点在决策树中对数据进行分类的顺序？ [英] Is there a way to see the order of nodes categorizing data in decision trees when not allowed to install graphviz nor pydotplus?

问题描述

运行决策树模型后，我需要知道节点的顺序和每个节点的得分。当我在办公室的计算机上工作时，安装受到很大限制，不允许我下载graphviz或pydotplus。

I need to know the order of the nodes and the scores for each one, once I have ran the decision tree model. As I'm working in my office computer, the installations are very restricted and I'm not allowed to download graphviz nor pydotplus.

没有关系没有模型的图形表示；我只想知道算法使用的分类顺序/过程。我正在使用 sklearn.tree ， sklearn.metrics 和 sklearn.cross_validation 。

It doesn't matter that there is no graphic representation of the model; I just want to know the classification order/process the algorithm is using. I'm using sklearn.tree, sklearn.metrics, and sklearn.cross_validation.

推荐答案

您可以使用 plot_tree sklearn.tree 模块的示例，我在下面说明了一个示例供您参考：

You can make use of plot_tree of sklearn.tree module, I have illustrated an example below for your reference:

from sklearn.datasets import load_iris
from sklearn import tree
clf = tree.DecisionTreeClassifier(random_state=0)
iris = load_iris()

clf = clf.fit(iris.data, iris.target)
tree.plot_tree(clf, filled=True)

示例输出

Sample Output

希望这会有所帮助！

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