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Uncertainty Quantification: Choosing Reliable Black-Box Models

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High-performing black-box models may hide unseen risks. Uncertainty quantification provides essential metrics for evaluating model confidence and failure likelihood. ExcelR’s Data Science Course in Nagpur enables learners to harness these techniques for safe, informed AI deployment. https://excelrposts-bijcw.wordpress.com/2025/10/13/uncertainty-quantification-for-black-box-model-selection/

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