Next, it is proposed to identify a portfolio of the most accurate models with varying complexity C by solving multiple MINLPs in parallel to global optimality. Among the results, one model is selected that is as sparse as possible to allow interpretation and knowledge extraction but is also as complex as necessary to describe the underlying physical system without overfitting.