Selecting black-box models can be risky when their inner workings are hidden. Uncertainty quantification (UQ) provides confidence metrics, helping data scientists evaluate reliability and predict potential failures. ExcelR’s Data Science Course in Nagpur equips learners with the skills to implement UQ, ensuring safe and trustworthy AI deployment. https://excelrposts-bijcw.wordpress.com/2025/10/13/uncertainty-quantification-for-black-box-model-selection/