WebApr 2, 2024 · MajorityCnt (classList) Since we recursively build the decision tree based on the consumption of attributes, there may be a last attribute used up, but the classification is not finished, at which point the node classification will be calculated by majority vote … Webdef majorityCnt ( classList ): classCount = {} for vote in classList: if vote not in classCount. keys (): classCount [ vote] = 0 classCount += 1 sortedClassCount = sorted ( classCount. items (), key = operator. itemgetter ( 1 ), reverse = True) return sortedClassCount [ 0 ] [ 0] # 创建树的函数代码 def createTree ( dataSet, labels ): # 创建 …
Python implementation of Decision Tree C4.5 Algorithm
Web目录模拟数据决策树分类算法构建数据集绘制决策树代码模拟数据编号年龄收入范围工作性质信用评级购买决策01<30高不稳定较差否02<30高不稳定好否0330-40高不稳定较差是04>40中等不稳定较差是05>40低稳定较差是06... Web57 For continuous features: Return feature value is greater than all samples of Value (with Value to divide the set into two parts) 58 ''' 59 def splitContinuousDataSet(dataSet, axis, … rocking horse road chords
Chapter 4 Decision Tree and ID3 Python 3.5.1 Code Composition
Webdef majorityCnt(classList): """majorityCnt(选择出现次数最多的一个结果) Args: classList label列的集合: Returns: bestFeature 最优的特征列 """ # -----majorityCnt的第一种方式 … WebNov 13, 2024 · 第一步:创建函数majorityCnt统计classList中出现此处最多的元素(类标签),创建函数createTree用来递归构建决策树。 编写代码如下:# -*- coding: UTF-8 -* … Web决策树实验[TOC](决策树实验)前言一、使用步骤1.源码2.数据集二、结果前言 决策树理论数据这里不讲,只把我的代码贴出来。代码一部分来源机器学习实战,详细的注释是我自己加的。另一部分源码我自己写的(处理西瓜集的部分)&#x… rocking horse ridge