Algorithm: Decision Tree, Entropy, Information Gain, Continues
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Deciesion Tree is the foundation of the random forest.
A decision tree represents a decision support tool by employing a graphical representation of decisions and their potential outcomes, such as chance events, resource costs, and utility. It represents a commonly used method for visualizing algorithms that solely consist of conditional control statements.
根据历史样本和经验，在构建各种决策树模型时有丰富的数据支撑基础；我们提出了一个用于评估决策树性能的方法。
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