About this document
Decision Tree Algorithms Comparison in WEKA by kadda zerrouki is a document available to read on EtoBox.
This document presents a comparative analysis of various decision tree classification algorithms using the WEKA data mining tool. It summarizes the classification process and discusses decision tree algorithms like ID3, C4.5, CART and decision stump. The paper evaluates the effectiveness of these algorithms on 5 datasets from UCI and KEEL repositories by comparing their results in WEKA. It aims to determine the most accurate algorithm for classification.
- Author
- kadda zerrouki
- Language
- EN