ALEXANDRIA, Va., Oct. 21 -- United States Patent no. 12,443,875, issued on Oct. 14, was assigned to INTERNATIONAL BUSINESS MACHINES Corp. (Armonk, N.Y.).
"Explanatory confusion matrices for machine learning" was invented by Alex Swain (Cedar Park, Texas), Stefan A. G. Van Der Stockt (Austin, Texas), Edward James Biddle (Winchester, Great Britain) and Daniel Kuehn (Austin, Texas).
According to the abstract* released by the U.S. Patent & Trademark Office: "In an approach to creating explanatory confusion matrices, responsive to receiving a machine learning model for analysis, a confusion matrix is calculated for the machine learning model, where each cell in the confusion matrix has a corresponding set of data. A link is created from each c...