A processor may acquire a trained predictive computational model from a database. The processor may apply a trained reduced complexity model to the trained predictive computational model. The trained reduced complexity model may be associated with the trained predictive computational model. The processor may select at least one metric. The processor may determine a quality indicator related to the at least one metric by identifying the type of the at least one metric, evaluating the output of the trained predictive computational model in relation to the type of the at least one metric, and generating, based on the evaluation of the trained predictive computational model, a threshold associated with the at least one metric. The processor may determine the accuracy of the trained predictive computational model based on the quality indicator.