GROUND TRUTH GENERATION FRAMEWORK FOR DETERMINATION OF ALGORITHM ACCURACY AT SCALE

摘要

The example embodiments are directed to a system and method for generating ground truth for determination of algorithm accuracy at scale. In one example, the method includes receiving raw data from at least one data source, performing pre-processing on the raw data, obtaining first information for generating ground truth data by applying a machine learning algorithm to the pre-processed raw data, obtaining second information for generating ground truth data by applying a signal processing algorithm to the pre-processed raw data, generating ground truth data based on matches between the first information and the second information, and determining accuracy of a source algorithm using the generated ground truth data.