MACHINE LEARNING TECHNIQUES FOR VALIDATING AND MUTATING OUTPUTS FROM PREDICTIVE SYSTEMS

Various embodiments of the present disclosure provide methods, apparatus, systems, computing devices, computing entities, and/or the like for revising classifier predictions, wherein classification labels are tokenized according to an index of predefined classification labels. An embedding is created for each token using an embedding model. The embeddings are provided to a machine learning model that accepts a sequence of tokens as input and produces a sequence of tokens as output. Tokens are extracted from the output of the machine learning model and a classification label corresponding to each token is retrieved according to the index of predefined classification labels.