US Patent Issued to Intuit on Feb. 24 for "Training ensemble predictor machine learning models with aggregated classes ranked by predictions and confidences utilizing plurality of training data items" (California Inventors)

ALEXANDRIA, Va., Feb. 24 -- United States Patent no. 12,561,619, issued on Feb. 24, was assigned to Intuit Inc. (Mountain View, Calif.).

"Training ensemble predictor machine learning models with aggregated classes ranked by predictions and confidences utilizing plurality of training data items" was invented by Christopher Lesner (Palo Alto, Calif.) and Alexander Ran (Palo Alto, Calif.).

According to the abstract* released by the U.S. Patent & Trademark Office: "A method including training predictor machine learning models (MLMs) using a first data set. The trained predictor MLMs are trained to predict classifications of data items in the first data set. The method also includes training confidence MLMs using second classifications, output...