Saravanan Radhakrishnan

Reliable food safety risk assessment via calibrated Mondrian conformal prediction: a machine learning framework with uncertainty quantification

Food safety risk assessment requires predictive models that not only achieve high accuracy but also provide reliable uncertainty quantification to support regulatory decision-making. This study presents a comprehensive machine learning framework that integrates Mondrian conformal prediction with post hoc probabilit...