H. Altún

A multi‐criteria ranking framework for machine learning algorithms: credit card fraud detection

An anisometric penalty structure is developed that quantifies deficiencies across multiple dimensions with differential weighting, and is applied to evaluate several leading machine learning approaches with various sampling strategies, XGBoost, Random Forest, and logistic regression—using a large dataset of European cr...