搜索资源列表
use_gain&static tree
- C4.5的简化版本是一个决策树的算法-C4.5 is a simplified version of the Decision Tree Algorithm
decision-trees
- 决策树lisp代码 决策树lisp代码-decision tree lisp code decisio n tree lisp code
Decision-Tree
- 决策树是数据挖掘分类算法的一个重要方法。在各种分类算法中，决策树是最直观的一种。决策树(Decision Tree）是在已知各种情况发生概率的基础上，通过构成决策树来求取净现值的期望值大于等于零的概率。-A decision tree is an important method of data mining classification algorithms. In various classification algorithms, decision trees is the most in
ensemble-learing-for-decision-tree
- 决策树的集成学习,用Java语言实现！具有良好的分类性能！-ensemble learning for decision tree
Decision-Tree
- decision tree 决策树源码，非原创，挺好的，可以借鉴学习，c#语言开发。-decision tree
decision-tree
- 这个是我自己整理的关于语音识别HMM模型训练部分的决策树相关学习总结-Decision tree learning summary of HMM model training for speech recognition
Decision-Tree-classifier15
- Decision Tree classifier by train and test
Chapter-IV-Decision-Tree
- 第四章 决策树-Chapter IV Decision Tree
decision-tree-classifier
- 决策树分类算法，是一种有效的分类算法，在模式识别有应用-Decision tree classification algorithm, is an effective classification algorithm, in the pattern recognition applications
ID3-Decision-Tree-master
- Decision Tree ID3 which is a system that extracts informative patterns data. Data mining algorithm.And there are several examples.
decision-tree
- 二叉决策树能很好地运行，适合初学者,希望能帮助大家更好地学习算法-Binary decision tree can run well, suitable for beginnersHope I can help you better learning algorithm
decision-tree
- Implementation of Decision tree ML Algorithm
Decision-Tree-Training-and-Error-Testing-Algorith
- this source code is about decision tr-this source code is about decision tree
decision-tree
- 决策树是在已知各种情况发生概率的基础上，通过构成决策树来求取净现值的期望值大于等于零的概率，评价项目风险，判断其可行性的决策分析方法。代码通过汽车性能案例分别建立决策树和回归树进行预测。-Decision tree is based on the known probability of occurrence of various situations, through the decision tree to obtain the expected value of net present v
decision-tree
- The given rar code file provides different function to make a decision tree, Gives probabilty about the happening of an event.
Decision-tree-algorithm
- 数据挖掘，机器学习经典分类算法,决策树算法ID3 C4.5 Java实现 开发环境 eclipse-Data mining, machine learning classic classification algorithm, decision tree algorithm ID3 C4.5 Java development environment eclipse
bodon_package
- Java Source Code for Decision Tree
src
- Java Source Code for Decision Tree C4.5
DecisionTree
- decision tree realize
ID3firstExample
- sample work with id3 decision tree