Black-box models can be unpredictable, especially under unseen conditions. Uncertainty quantification techniques evaluate prediction confidence, allowing practitioners to select reliable models. ExcelR’s Data Science Course in Nagpur teaches these methods, preparing learners for risk-aware AI implementation. https://excelrposts-bijcw.wordpress.com/2025/10/13/uncertainty-quantification-for-black-box-model-selection/