In this project we'll try to implement and learn about decision trees the in artificial intelligence subject KRU (Knowledge, reasoning and uncertainty or in Catalan, a region from Spain we are living: Coneixement, raonament i incertesa).

machine learning algorithm

C4.5 Decision Tree Implementation

Bu projede bizden istenen multi thread yapısı kullanılarak verilen veri seti üzerinden karar ağacı oluşturulması istenmektedir. Karar ağacı oluşturma aşamasında C4.5 algoritmasının kullanılması istenmektedir. Projenin asıl amacı Thread yapısının kullanılması ve anlaşılmasıdır. Böylece eş zamanlı işlem yapılabilmektedir.

Bu pakette Veri Madenciliği'nin kendi yazdığım önemli sınıflandırma algoritmalarından C4.5 - ID3 - Linear Regression ve Twoing algoritmaları bulunmaktadır.

Decision tree implementation in C++ to classify and predict salary of people using ID3 and C4.5 algorithms

决策树算法c4.5进行影像分类

This is a type of optimisation technique using PSO+C4.5 algorithm, mainly used as Gene Selection Algorithm

Python 3 implementation of decision trees using the ID3 and C4.5 algorithms. ID3 uses Information Gain as the splitting criteria and C4.5 uses Gain Ratio

A C4.5 tree classifier based on a zhangchiyu10/pyC45 repository, refactored to be compatible with the scikit-learn library.

An implement of the classic machine learning algorithm C4.5 decision tree.

SJTU EI229: Image Classification based on machine learning; 基于CART和C4.5的图像二分类

Trabalho prático da disciplina de Reconhecimento de padrões que consiste na implementação do algoritmo KNN para classificar sinais de áudio e de ECG.

Implementation of the C4.5 classifier - Decision Tree

Implementing binary classification for id3, c45 and cart trees.

ABALONE_DECISIONTREE_C4-5: A procedure is attached that uses the Abalone file (https://archive.ics.uci.edu/ml/datasets/abalone) as test and training . After evaluating the entropy of each field, a tree has been built with the nodes corresponding to fields 0, 7 and 4 and branch values ??in each node: 1 for the root node corresponding to field 0, …