1. A computer implemented method for aggregating items of evidence from multiple probability predictive models by multiplicative adjustment of class probability comprising the steps of: a) combining items of probabilistic evidence given by prior probability of a class with successive multiplicative adjustments to obtain an adjusted probability model (APM) for a class of interest; and b) optimizing a loss function to obtain optimal values of adjustment parameters of the adjusted probability model.