US Patent Issued to StatSketch on July 29 for "Performance optimization predictions related to an entity dataset based on a modified version of a predefined feature set for a candidate machine learning model" (California, Missouri Inventors)

ALEXANDRIA, Va., July 30 -- United States Patent no. 12,373,736, issued on July 29, was assigned to StatSketch Inc. (San Francisco).

"Performance optimization predictions related to an entity dataset based on a modified version of a predefined feature set for a candidate machine learning model" was invented by Samuel Owen (St. Louis), Corne Nagel (Agoura Hills, Calif.) and Anthony Chong (San Francisco).

According to the abstract* released by the U.S. Patent & Trademark Office: "Embodiments of the present disclosure provide for providing performance optimization predictions related to an entity dataset. Such embodiments may include selecting a candidate machine learning model from a plurality of candidate machine learning models based at l...