Budoen, A.T., Zhang, M.W. and Edwards Jr., L.Z. (2025) A Comparative Study of Ensemble Learning Techniques and Classification Models to Identify Phishing Websites. Open Access Library Journal, 12, ...

This project demonstrates how to apply the Decision Tree Classification algorithm on the Social Network Ads dataset using Python and scikit-learn. It includes data preprocessing, model training, ...

Artificial intelligence (AI) has become part of the daily lexicon, and an endless stream of media reports assert that AI either has affected or will affect most aspects of human life. What is AI and ...

This discovery-driven proteomics study of a pediatric population - including rare diseases - introduces a SNOMED CT-guided ...

Abstract: Class imbalance poses a critical challenge in binary classification problems ... deep learning techniques struggle with such imbalances, decision trees and random forests combined with data ...

Discover what data ... to enhance decision-making and predict future trends. Data scientists use statistical knowledge to analyze, summarize, and interpret data, using either classification ...

In this article we propose the use of binary decision diagrams (BDDs) as an interpretable ML model. BDDs can be deemed as interpretable as decision trees (DTs ... that exhibit perfect accuracy on ...

This study aimed to classify ... integrity. Decision tree algorithms have been successfully applied to various agricultural contexts, such as classifying raisins by size, shape, color, and texture ...