The paper addresses insurance pricing by improving machine learning models and metrics.
problem Lack of balance and confusion in insurance model performance metrics.
method Introduces autocalibration and Tweedie deviance minimization for insurance pricing models.
result Autocalibration corrects bias and ensures balance on local scales.