US Patent Issued to PAYPAL on May 20 for "Training and using a two stage machine learning model to predict an outcome of a prospective transaction" (California Inventors)

ALEXANDRIA, Va., June 16 -- United States Patent no. 12,307,332, issued on May 20, was assigned to PAYPAL INC. (San Jose, Calif.).

"Training and using a two stage machine learning model to predict an outcome of a prospective transaction" was invented by Piyush Neupane (Hayward, Calif.), Anirudh Singh Shekhawat (San Jose, Calif.) and Prasiddha Malla (Milpitas, Calif.).

According to the abstract* released by the U.S. Patent & Trademark Office: "A machine learning model, such as a Gradient Boosting Machine model, is trained using historical data associated with different types of operations. The machine learning model extracts features from the historical data and learns which features result in a predefined outcome, such as approval by a pr...