SYSTEMS AND METHODS FOR MACHINE LEARNING-BASED CLASSIFICATION OF SIGNAL DATA SIGNATURES FEATURING USING A MULTI-MODAL ORACLE

Abstract

The disclosed systems and methods provide a novel technical solution via mechanisms for identifying which models are truly high-performing and the set of models that would provide the most accurate single prediction for a signal data signature (SDS). The disclosed systems and methods provides a computerized framework that can document the depictions of individual model performance. Moreover, the disclosed framework can identify all high performing models according to positive results, negative results, as well as generalized results. The framework can additionally operate to combine high performing models into a single predictive oracle to render a final prediction based on input from many models.

CPC Classifications