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decision_tree_cart

记一次机器学习的作业

  • 采用gini系数进行决策树的划分
  • 抽取测试集的20%的数据的数据进行测试,acc值为91%
  • 并进行了决策树的可视化

树的可视化

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手写基于CART的决策树

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