This implementation reveals a process of performing MLassisted superconductor screening using an algorithm that uniquely accounts for chemical similarity, and identifies and evaluates new high-performing, chemically distinct compositions. These predicted compositions are openly available in the hopes of being used in the materials discovery process. Since these validation formulae are sorted, they can now undergo additional post-processing and characterization.