Classification and Regression Tree的ppt介绍，简称CART，即分类回归树。-Ppt Classification and Regression Tree of the introduction, referred to as CART, the classification and regression trees.

数据挖掘教程：分类与回归树模型的教程介绍-Classification and regression trees documentation

包括无监督和监督的机器学习技术 • K-means and other clustering tools • Neural Networks • Decision trees and ensemble learning • Naï ve Bayes Classification • Linear, logistic and nonlinear regression-Highlights include unsu

随机森林算法的构造过程：1、通过给定的原始数据，选出其中部分数据进行决策树的构造，数据选取是”有放回“的过程，我在这里用的是CART分类回归树。 2、随机森林构造完成之后，给定一组测试数据，使得每个分类器对其结果分类进行评估，最后取评估结果的众数最为最终结果-Random Forest algorithm construction process: 1, by a given raw data, which part of the decision tree data structu