US Patent Issued to FAIR ISAAC on Sept. 9 for "Supervised machine learning-based modeling of sensitivities to potential disruptions" (California, Texas Inventors)

ALEXANDRIA, Va., Sept. 10 -- United States Patent no. 12,412,662, issued on Sept. 9, was assigned to FAIR ISAAC Corp. (Minneapolis).

"Supervised machine learning-based modeling of sensitivities to potential disruptions" was invented by Gerald Fahner (Austin, Texas) and Brad Vancho (San Francisco).

According to the abstract* released by the U.S. Patent & Trademark Office: "Computer-implemented systems, methods and products for modeling sensitivities to potential disruptions by observing performances of entities in a first sub-population and a second sub-population using a machine learning model comprising a set of predictors and a binary indicator variable associated with a first entity subjected to a first event associated with the first ...