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机器学习系列之决策树算法（02）：决策树的生成 | DataQuaner
- 前言上文讲到决策树的特征选择会根据不同的算法选择不同的分裂参考指标，例如信息增益、信息增益比和基尼指数，本文完整分析记录决策树的详细生成过程和剪枝处理。
- 决策树的生成 示例数据表格
文章所使用的数据集如下，来源于《数据分
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机器学习系列之决策树算法（03）：决策树的剪枝 | DataQuaner
- 前言上一篇文章介绍了决策树的生成详细过程，由于决策树生成算法过多地考虑如何提高对训练数据的正确分类，从而构建过于复杂的决策树，这样产生的决策树往往对训练数据的分类很准确，却对未知的测试数据的分类没有那么准确，即出现过拟合现象。我们需要
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