Dynamic user-interface comparison between machine learning output and training data

Abstract

Systems/techniques that facilitate dynamic user-interface comparison between machine learning output and training data are provided. In various embodiments, a system can access a data candidate on which a machine learning classifier is to be executed. In various aspects, the system can generate, via execution of the machine learning classifier, a predicted classification based on the data candidate. In various instances, the system can render, on an electronic display, a confidence graph that visually depicts how well or how poorly the data candidate and the predicted classification fit into an annotated training dataset on which the machine learning classifier has been trained.

CPC Classifications