Basel Lubbad

Interpretable Benchmarking of Classical Machine Learning Models for Phishing Website Detection

This preprint presents an interpretable benchmarking study of classical machine-learning models for phishing website detection. Using the UCI Phishing Websites dataset, which contains 11,055 observations and 30 features, several classification approaches were evaluated through st...