ID3决策树+随机森林算法生成决策森林，采用投票机制进行决策；有训练数据aaa和测试数据bbb；非常适合机器学习的初学者-The ID3 the+ random forest algorithm to generate decision forests voting mechanism for decision-making training data the the aaa and test data bbb ideal for machine learning beginners

本文分别利用逻辑回归、决策树和随机森林三种模型针对员工是否会过早离职问题进行探究，结果显示三种方法预测结果的精确度依次增加，分别为78.59%、96.8%和 99%，并且三种模型均显示员工演满意度是最重要的特征变量。(Predicting employee turnover)

随机森林分类器，matlab写的，直接可以运行，不需要该任何东西，详细看readme和案例。-Random Forest classifier, matlab write, direct run, does not require that anything

决策树和随机森林，非常实用的PPT资料，推荐(Decision tree and random forest, very useful PPT data, recommended.)