目录摘要...................................................................................................................1Abstract.............................................................................................................2第一章引言.....................................................................................................31.1背景介绍..............................................................................................31.2Python..................................................................................................31.2.1当代环境下的Python.............................................................41.2.2Python的演变..........................................................................41.2.3Python的特点介绍..................................................................41.2.4Python的功能与应用..............................................................51.3本文结构和框架..................................................................................6第二章随机森林算法研究与分析.................................................................72.1决策树.................................................................................................72.1.1决策树的概念..........................................................................72.1.2节点分裂..................................................................................72.1.3决策树分类存在的问题..........................................................92.2随机森林分析.....................................................................................92.2.1训练集的随机性......................................................................92.2.2特征变量的随机性.................................................................112.3随机森林理论概述............................................................................112.4随机森林性能指标...........................................................................122.4.1分类效果性能指标................................................................122.4.2泛化误差和OOB估计...........................................................142.4.3随机森林运行效率指标........................................................14第三章随机森林算法的实现.......................................................................163.1决策树的实现...................................................................................163.2随机森林的构建过程.......................................................................183.2.1训练集的生成........................................................................193.2.2决策树的构成........................................................................203.2.3森林的形成............................................................................203.3随机森林的构成...............................................................................21第四章随机森林应用与实例分析...............................................................224.1随机森林算法应用场合....................................................................224.1.1预测能力.................................................................................224.1.2分类能力.................................................................................224.2鸢尾花分类实例分析.....................................................