Description: A simple implementation of decision tree algorithms, decision tree (Decision Tree) is a simple but widely used classifier. Through training data, a decision tree is constructed to classify the unknown data efficiently. The number of decision-making has two advantages: 1) the decision tree model can read well, with descriptive help manual analysis; 2) high efficiency, only a single decision tree construction, repeated use, the maximum calculated every time prediction is less than the depth of the decision tree.
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DicisionTree.java
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