In particular, the band gap MAE of 0.195 eV it the best result among all known machine learning models used on the materials considered. The eDOS spectra match the references precisely. In summary, we have developed a concise and fast machine learning approach for chemical tasks, that can be applied to materials screening tasks as well as serve as a foundation for future research.