决策树的建⽴步骤（西⽠书例题）树的建⽴步骤：引⼊包、数据的获取与处理、获取名称与类别标记——>选择样本最多的类作为类别标记——>重点来了，计算信息熵——>⼦数据集构建——>计算信息增益——>选择最优属性——>建⽴决策树。这些步骤搞懂了，基本就理解了决策树的原理。import pandas as pdimport numpy as npfrom collectio
SECOM Data Set(SECOM公司数据集)黑布林热量数据摘要：Data from a mi-conductor manufacturing process. A complex modern mi-conductor manufacturing process is normally under consistent surveillance via the monitoring
