ALEXANDRIA, Va., Feb. 17 -- United States Patent no. 12,554,795, issued on Feb. 17, was assigned to HITACHI ENERGY LTD (Zurich).

"Reducing class imbalance in machine-learning training dataset" was invented by Jhelum Chakravorty (Montreal), Nandinee Haq (Nepean, Canada) and Pawel Dawidowski (Malopolskie, Poland).

According to the abstract* released by the U.S. Patent & Trademark Office: "Class imbalance in a training dataset may negatively impact the accuracy of a machine-learning model in classifying rare events that are underrepresented in the training dataset. Training datasets comprising time-series data present a unique challenge. Accordingly, resampling techniques for up-sampling and/or down-sampling a training dataset of time series...