Given that the ground state spin of TM complexes depends on multiple factors, such as metal identity, OS, coordination geometry and ligand field strength, deducing this information only from their structure is challenging. Significant efforts have been made to train ML models that predict spin-state-dependent properties such as spin-splitting energies, spinstate orderings, sensitivity to Hartree-Fock exchange, and metal-ligand bond lengths but these efforts have been essentially placed on mononuclear octahedral complexes and on a restricted range of exemplary ligands with varying field strengths along the spectrochemical series. So far, the prediction of ground state spin of TM complexes has not been investigated across diverse chemical spaces.