The paper is structured as follows. The methods section details the dataset information and briefly introduces the theoretical foundations of the various ML models applied for UQ, along with three evaluation metrics for the assessment of UQ models. The results and discussion sections delve into the UQ analysis, presenting a thorough evaluation of these models. The paper concludes with key findings and insights derived from this study.