Beyond Point Estimates: Distributional Uncertainty in Machine Learning Performance Evaluation

Christoph Lehmann, Yahor Paromau

Machine learning models are often evaluated using point estimates of performance metrics such as accuracy, F1 score, or mean squared error. Such summaries fail to capture the inher…