สัมมนาวิชาการ เรื่อง “Interpretable Decision Tree Ensemble Learning with Abstract Argumentation for Binary Classification”
Mahidol University (Salaya) Faculty of ICT, Salaya, Nakhon Pathom, Salaya, Nakhon Pathom, ThailandAbstract: We marry two powerful ideas: decision tree ensemble for rule induction and abstract argumentation for aggregating inferences from diverse decision trees to produce better predictive performance and intrinsically interpretable than state-of-the-art ensemble models. Our approach called Arguing Tree Ensemble is a self-explainable model that first learns a group of decision trees from a given dataset. It then treats all […]

