In the process of decision tree construction, property division standards directly affect the classification results. Aimed at weakness of ID3 in nicety of grading, we provide the concept of degree of ...

The traditional decision tree algorithm has an over-fitting phenomenon and its pruning step is time-consuming. It is difficult to meet the actual needs in classifying bank customers. In response to ...

This repository contains the implementation of a decision tree classifier to predict wine classes based on chemical analysis data. The classifier is trained using the ID3 algorithm and visualized to ...

The [!INCLUDE msCoName] Decision Trees algorithm is a hybrid algorithm that incorporates different methods for creating a tree, and supports multiple analytic tasks, including regression, ...

ABSTRACT Computer vision systems combined with machine learning techniques have demonstrated success as alternatives to empirical methods for classification and selection. This study aimed to classify ...

Decision trees are particularly suited to ethnic classification because of their hierarchical structure, which enables clear interpretability and allows researchers to understand the decision-making ...