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, ...

Breast cancer poses a real and immense threat to humankind, thus a need to develop a way of diagnosing this devastating disease early, accurately, and in a simpler manner. Thus, while substantial ...

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 ...

Moving forward, continuous optimization of classification algorithms will further ... is a fundamental class of deep learning models widely applied in sequential data processing tasks, such as machine ...

There are many machine learning techniques for multi-class classification. One of the most powerful ... which in turn was inspired by earlier tree boosting algorithms. The "boosting" term of the ...

What are machine learning algorithms ... problems for time series data. Classification problems are sometimes divided into binary (yes or no) and multi-category problems (animal, vegetable ...

A decision tree is a machine learning technique that can be used for binary classification or multi-class classification ... Starting with all 200 training items, the decision tree algorithm scans the ...