Modeling results show that by using RDK fingerprints and/or physicochemical descriptors models can be built which sufficiently discriminate between formulations based on loading properties. By analyzing SHAP values, it is possible to determine the most important features across various model types and interpret the results, as e.g. previously shown for predictions of formulation printability . Thus, in the following section, we want to shortly describe the most relevant descriptors for selected models.