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Evaluating Explanatory Capabilities of Machine Learning Models in Medical Diagnostics: A Human-in-the-Loop Approach

José Bobes-Bascarán; Eduardo Mosqueira-Rey; Ángel Fernández-Leal dkk.

Mathematics, Vol. 14 No. 3 · 2026 · Inggris · DOAJ Scopus

This paper presents a broad study on the evaluation of explanatory capabilities of machine learning models, with a focus on Decision Trees, Random Forest, and XGBoost using a pancreatic cancer data set. We use Human-in-the-Loop-related techniques and medical guidelines as a source of domain…