Budoen, A. , Zhang, M. and Jr., L. (2025) A Comparative Study of Ensemble Learning Techniques and Classification Models to Identify Phishing Websites. Open Access Library Journal, 12, 1-22. doi: ...

The integration of Machine Learning stands ... of more efficient and precise algorithm development are acknowledged within this review. FIGURE 2. Schematic classification of ML. Apart from Supervised ...

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 ...

Logistic Regression is a widely used model in Machine Learning. It is used in binary classification, where output variable can only take binary values. Some real world examples where Logistic ...

We are using a Logistic Regression machine learning algorithm to train our model for the task of predicting heart disease. LR is perfect for cardiac infection because of its straight forward approach, ...

Abstract: Machine learning (ML) is ever more frequently used as a tool to aid decision making. The need to understand the decisions made by ML algorithms has sparked ... In this article we propose the ...

Objectives This study aimed to employ machine learning algorithms to predict ... Outcome measure Seven classification algorithms were used in this study: logistic regression, decision tree classifier, ...