Jukka K. Nurminen

Confidence-based Estimators for Predictive Performance in Model Monitoring (Abstract Reprint)

After a machine learning model has been deployed into production, its predictive performance needs to be monitored. Ideally, such monitoring can be carried out by comparing the model’s predictions against ground truth labels. For this to be possible, the ground truth labels must be available relativ