搜索资源列表
id3决策树——new
- 这是一个ID3决策树分类的代码用于分类器的计算,大家下载类以后可以学习使用,ID3是一种比较古老的决策树,最新的有C4.5等(This is an ID3 decision tree classification code for classifier calculation, which can be used after downloading the class. ID3 is a relatively ancient decision tree, with the latest C4.5
code
- 可完成相应的SVM分类、决策树分类、图片压缩、图片重采样、中值滤波等图片处理工作(It can complete the corresponding picture processing work.)
第三次 关键的构造决策
- 选择构建语言 编程约定 选择主要的构建实践方法(Select the construction language Programming conventions Select the main construction practice method)
Iris_DecisionTree
- python 鸢尾花(iris)数据分类测试程序,采用决策树方法。(Python iris flower (IRIS) data classification test program, using the decision tree method.)
decision_tree
- 以隐形眼镜为例的决策树分类算法代码,lenses.data是存放数据的文件,此代码使用python3实现(The classification algorithm code of the decision tree with the contact lens as an example)
suanfa
- 简单的决策树,使用增益率,未考虑剪枝,和过拟合现象。包含数据。(this file contains data.)
decision_tree
- 决策树是一个利用像树一样的图形或决策模型的决策支持工具,包括随机事件结果,资源代价和实用性。(A decision tree is a decision support tool that uses a tree like graph or a decision model, including the result of random events, the cost of resources and the practicality.)
BreastCancer
- Java实现机器学习经典分类算法,代码中实现了决策树、贝叶斯和KNN三个分类算法(Java implements the classic classification algorithm for machine learning. The code implements three classification algorithms: decision tree, Bayes and KNN)
Markov Decision Process(MDP)
- 马尔可夫决策过程的例程,使用matlab实现(The example of Markov's decision-making process is implemented using MATLAB)
j
- 决策树、代价敏感矩阵决策树实现(Decision tree and cost sensitive matrix decision tree)
熵权决策
- 利用多目标熵权决策方法实现项目的选择,通过熵权值的大小比较某项指标优劣(Using multi-objective entropy weight decision-making method to realize project selection)
鸢尾花用ID3算法
- 建立决策树模型基于R软件,利用DI3算法,利用鸢尾花数据(Establish a decision tree)
example1
- 最近在学习决策树,一个简单的决策树预测模型(Recently in the learning decision tree,A simple decision tree prediction model)
treePlotter
- 绘制ID3,C4.5,CRAT决策树算法的树型(Drawing the tree pattern of ID3, C4.5, CRAT decision tree algorithm)
DecisionTree
- 利用Anaconda编写的决策树,可用于分类(This decision tree algorithm which is used for classification coded by Anaconda.)
决策树代码及数据文件
- 决策树代码(Decision tree code)
chapter28
- 决策树分类器在乳腺癌诊断中的应用研究(2012b版本)(Application of decision tree classifier in breast cancer diagnosis (2012b version))
DCT
- 机器学习的决策树,通过调用sklearn中的函数完成,同时可以对txt文件中的数据集进行分类(Decision Tree,machine learning,separate the dataset in txt files.)
decision_tree
- 机器学习/python入门项目三:决策树(Machine Learning / Python Getting Started Project 3: Decision Trees)
DT
- 调用于sklearn平台的决策树算法,有着较好的分类能力(The decision tree algorithm used in sklearn platform has good classification ability)