ALEXANDRIA, Va., Dec. 9 -- United States Patent no. 12,493,826, issued on Dec. 9, was assigned to SAP SE (Walldorf, Germany).
"Automatic machine learning feature backward stripping" was invented by Jacques Doan Huu (Montigny le Bretonneux, France).
According to the abstract* released by the U.S. Patent & Trademark Office: "Features are used to train one or more ML models in a modelling layer. In a feature selection layer, each generated ML model is analyzed to determine, for each input feature, a degree of importance of the feature on the results generated by the ML model. Features with low importance are identified and the information is propagated backward to the data source and feature engineering layers. In response, the data source a...