Susceptibility of AutoML mortality prediction algorithms to model drift caused by the COVID pandemic
Description
CONCLUSIONS: Our results show that none of our tested easy-to-implement measures in model training can prevent deterioration in the case of sudden external events. Therefore, we conclude that, in the presence of concept drift and covariate shift
