The decision tree of the Python implementation of machine learning algorithm-decision trees (2) Decision tree Implementation

1. Background

And then in the last section, I didn't see it. Please take a look at the partition of the data set in the previous section. Now that each feature is worth the information entropy gain, we arrange the nodes that are arranged as two fork trees according to the order of the information entropy gain from the big to the school. The dataset and the two-fork tree are shown below.

(The graph of the binary tree is drawn with the Python matplotlib library)

Data set:

Decision Tree:

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