#计算机科学#A collection of research papers on decision, classification and regression trees with implementations.
翻译 - 有关决策，分类和回归树及其实现的研究论文的集合。
Julia implementation of Decision Tree (CART) and Random Forest algorithms
Python Implementation of ID3
决策树分类（ID3，C4.5，CART）
Making decision trees competitive with neural networks on CIFAR10, CIFAR100, TinyImagenet200, Imagenet
My implementation of Decision Tree ID3 algorithm for all categorical attributes.
Seminar work "Decision Trees - An Introduction" with presentation, seminar paper, and Python implementation
I've demonstrated the working of the decision tree-based ID3 algorithm. Use an appropriate data set for building the decision tree and apply this knowledge to classify a new sample. All the steps have...
NodeJS Implementation of Decision Tree using ID3 Algorithm
Golang Dynamic Decision Tree
C4.5 Decision Tree Implementation
Distributed decision tree ensemble learning in Scala
Federated gradient boosted decision tree learning
python C4.5 decision tree library
ID3-based implementation of the ML Decision Tree algorithm
翻译 - 基于ID3的ML决策树算法的实现
Focus on decision tree and derivatives
Export sklearn decision tree as C++ function
C4.5 decision tree generation algorithm in JavaScript.
javascript implementation of logistic regression/c4.5 decision tree
Universal model exchange and serialization format for decision tree forests
C4.5 Decision Tree python implementation with validation, pruning, and attribute multi-splitting
Package implements decision tree and isolation forest
关联规则和决策树组合算法在学生成绩分析中的研究——本科毕设。首先，本文基于爬取到的学生课程成绩设计以学生成绩为主题的数据仓库，为后续的成绩分析提高可靠的数据支持。其次，利用关联规则算法挖掘分析课程间的关联性，并生 成用于构造决策树的新属性。最后，通过信息增益率的思想将生成的新属性和原有属性构造成决策树， 实现学生成绩分析预测。