To demonstrate the proposed list of atomic properties is useful for structure prediction, we prepared a prediction model for 1:3 structure type classification, followed by experimental validation. To start, out of 85 elements that compose the table, 62 metallic or metalloid elements were selected by excluding nonmetals and Li, Be, Tc, Pm, Hg. The excluded metal elements were not considered for synthesizability reasons or difficulty with structural analysis with X-rays (Li). From Pearson's Crystal Database , 1:3 stoichiometries of these 62 elements were extracted as 910 reports. Additionally, unspecified elements, such as T (as tetrels) or isotopes D, were filtered out. Multiple reports of the same phases were excluded, which gave us 885 compounds with unique compositions or adopted structure types (polymorphs included). In ML the number of representatives of each structure is important for a reliable classification; therefore, the cut-off number of 20 samples per structure type was set, which gave 8 structure types (Table ) out of 82 structure types with a significant number of unidentified structure types, which were also used for predictions. In total, 581 samples were prepared for analysis with 76 being polymorphs, meaning that 38 compositions can adopt more than one of the listed classes, which is a challenge for any classification model. The constructed models had 90/10 training/validation splits. Once the model with reasonable statistics were built, 59 samples that had unknown structure prototypes in the database and UCd3 were used in a test run for the model to acquire prototype prediction probabilities.