METHODS, ARCHITECTURES, APPARATUSES AND SYSTEMS FOR CONTINUOUS ASSESSMENT, TRAINING AND DEPLOYMENT OF AI/ML MODEL

Procedures, methods, architectures, apparatuses, systems, devices, and computer program products of machine learning using a first machine learning (ML) module implementing a first ML model and a second ML module implementing a second ML model, the method comprising: receiving, by the second ML module, first prediction results of the first ML model, the first prediction results being based on input data; generating, by the second ML module, second prediction results using the second ML model based on the input data; determining, by the second ML module, an accuracy metric based on a comparison of the first prediction results of the first ML model and the second prediction results of the second ML model; and sending, by the second ML module, the determined accuracy metric and an accuracy condition.