ID3 Decision Tree Classifier for Machine Learning along with Reduced Error Pruning and Random Forest to avoid overfitting

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An intelligent system to predict probability of heart diseases by using classification algorithms. View README for details.

This is the ID3 implementation project for the course Artificial Intelligence at AUEB for the year 2021-2022.

An ID3 implementation of decision tree

Import a csv that follows the format provided by the 2 test sets and you will get an optimized question flow to return a Yes/No answer. This is an implementation of the ID3 Algorithm.

Project on Decision Trees for the Curricular Unit of "Artificial Intelligence" @ FCUP, Porto

Steve525 implementation modified version.

Implementation of ID3 algorithm in Java

implements ID3 algorithm which would calculate the entropy and information gain and based on these values, the attributes are selected. These acquired information is used to create the decision tree. The entropy and hence the information gain is calculated using the training data. Pruning is carried out using the validation data.

An implementation of an ID3 Machine Learning algorithm for classification of customers and products.

Repositorio usado para almacenar las prácticas de la asignatura Ingeniería del Conocimiento,

Implementation of the ID3 decision tree learning algorithm for classification of a property buyers data set

Implementation from scratch of a ID3 Decision Tree

ID3 + Random forest implementation in Java

AI assignement 3 - ID3 algorithm implementation