Not all high-performing models are equally reliable. Uncertainty quantification provides a framework to measure confidence and detect potential failures in black-box models. ExcelR’s Data Science Course in Nagpur equips learners to integrate these strategies, ensuring safer AI deployment across industries. https://excelrposts-bijcw.wordpress.com/2025/10/13/uncertainty-quantification-for-black-box-model-selection/