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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)
j
- 决策树、代价敏感矩阵决策树实现(Decision tree and cost sensitive matrix decision tree)
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)
GBDT
- 调用于sklearn平台的梯度提升决策树算法，有着较好的分类能力(The GBDT algorithm used in sklearn platform has good classification ability)
决策树-判断隐形眼镜的类型
- 使用python实现的利用随机数生成算法对一个实例，判断隐形眼镜类型的分类问题进行解决。(Use python and random decision tree algorithm to solve the classification problem)
kd_tree
- 数据挖掘之决策树的简单详细使用！！！！！！！！！！！！！(Simple and detailed use of decision tree for data mining)
ID3
- 基于matlab的决策树ID3算法，完成对数据集的分类问题(Based on matlab decision tree ID3 algorithm, the classification of data sets is completed.)
MATLAB
- 本书论述在MATLAB环境下如何实现神经网络，包括了常用的神经网络及相关理论，如BP神经 网络、RBF神经网络、SVM、SOM神经网络、灰色神经网络、决策树、随机森林、小波神经网络、NARX神经网络等以及各种优化算法与神经网络的结合。((This book discusses how to realize neural network in MATLAB environment, including the commonly used neural network and related the
adult
- 本人课设实现的基于决策树和朴素贝叶斯对Adult数据集进行分类！(Adult dataset is classified based on decision tree and naive bayes!)
决策树
- 决策树算法基于python语言的具体实现实例(Implementation of decision tree algorithm based on Python language)