{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# 5.1 算法原理" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## 5.1.1 组合分类的特点" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "![1](Picture/511.png)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## 5.1.2 Boosting" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "![2](Picture/512.png)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "![3](Picture/556.png)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "![4](Picture/513.png)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "![5](Picture/514.png)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## 5.1.3 Bagging" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "![6](Picture/515.png)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "![7](Picture/516.png)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## 5.1.4 Decision Tree" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "![8](Picture/517.png)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "![9](Picture/518.png)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### 5.1.4.1 分类树计算方法" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "![10](Picture/519.png)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "![11](Picture/5110.png)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "![12](Picture/5111.png)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "![13](Picture/5112.png)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "![14](Picture/5113.png)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### 5.1.4.2 根据样本特征属性分类" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "![15](Picture/5114.png)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "![16](Picture/5115.png)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "![17](Picture/5116.png)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "![18](Picture/5117.png)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "![19](Picture/5118.png)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "![20](Picture/5119.png)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "![21](Picture/5120.png)" ] } ], "metadata": { "kernelspec": { "display_name": "Python 3", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.6.4" }, "toc": { "base_numbering": 1, "nav_menu": { "height": "102px", "width": "252px" }, "number_sections": true, "sideBar": true, "skip_h1_title": false, "title_cell": "Table of Contents", "title_sidebar": "Contents", "toc_cell": false, "toc_position": {}, "toc_section_display": "block", "toc_window_display": true } }, "nbformat": 4, "nbformat_minor": 2 }