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本实验是基于决策树模型的训练与调优记录，旨在通过学习与总结，不存在其他用途与目的。数据采用薛微出版的《R语言数据挖掘方法及应用》教材中提供的数据集---【购物决策数据集】；为简单起见，应用调包SKlearn进行数据预处理与模型训练；后半部分将包含对训练结果的分析、参数调优与最佳模型与参数选择。本实验采用python语言进行模型构建。 模型理解：训练一决策树模型。得到一个新的数据（至少包含性别年龄收入），只要输入性别、年龄和收入，我们可以预测它是否购买。
☆11Mar 28, 2021Updated 4 years ago
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