Afrim Hossen Khan

Explainable Gradient Boosting for Transparent Phishing URL Detection: A Cross-Dataset, Statistically Validated SHAP Analysis of XGBoost, LightGBM, and CatBoost

A cross-dataset, explainability-driven evaluation of three gradient boosting algorithms for phishing URL classification, paired with a SHAP (Shap-ley Additive Explanations)-based framework, supporting feature-attribution analysis as a useful complement to accuracy when comparing similarly performing gradient boosting m...