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, ...

The workflow includes data cleaning, feature selection, model training ... Technical Goal: To compare the performance of different classification algorithms (GLM, SVM, Random Forest, KNN) in Python.

That does not mean you cannot fit multi-class datasets to an SVM model, of course you can fit to it.

We summarized the methods for EC feature extraction and selection, the application of classifiers, validation techniques, and the accuracy of the classification ... developed a diagnosis model for AD ...