AI AND ML DEVELOPMENT - AN OVERVIEW

Once the versions happen to be trained, These are evaluated on examination data to evaluate their general performance and generalization capabilities. Metrics such as precision, precision, recall or F1 score evaluate the design’s performance.The Metropolis–Hasting algorithm is employed to randomly draw ( varvec beta ^ d ) for the new iteration