The expansion of programmatically-accessible materials data has cultivated opportunities for data-driven approaches. Highlyautomated frameworks like AFLOW not only manage the generation, storage, and dissemination of materials data, but also leverage the information for thermodynamic formability modeling, such as the prediction of phase diagrams and properties of disordered materials. In combin...