ALEXANDRIA, Va., July 15 -- United States Patent no. 12,664,460, issued on June 23, was assigned to International Business Machines Corp. (Armonk, N.Y.).
"Optimizing feature importance for binary classification" was invented by Dong Hai Yu (Xian, China), Jun Wang (Xian, China), Si Er Han (Xian, China), Xiao Ming Ma (Xian, China), Lei Gao (Xian, China) and A Peng Zhang (Xian, China).
According to the abstract* released by the U.S. Patent & Trademark Office: "Feature importance is critical to understanding how predictive models produce accurate results, and can change significantly for different models. The present invention is used to achieve a good ranking for stable feature importance. An optimized technique is presented which considers ...