Utilizing Large Language Models for Machine Learning Explainability

Alexandros Vassiliades, Nikolaos Polatidis, Stamatios Samaras +5

This study explores the explainability capabilities of large language models (LLMs), when employed to autonomously generate machine learning (ML) solutions. We examine two classifi…