International Business Machines Corporation
MACHINE LEARNING CLASSIFIERS PREDICTION CONFIDENCE AND EXPLANATION

Abstract:

A method, a computer system, and a computer program product for generating explanations for different confidence levels of machine learning classifiers is provided. Embodiments of the present invention may include obtaining a dataset. Embodiments of the present invention may include training a first classifier using the dataset to generate probabilities. Embodiments of the present invention may include generating confidence scores using the first classifier. Embodiments of the present invention may include defining targeted confidence zones by transforming the generated probabilities into the confidence scores. Embodiments of the present invention may include training a second classifier to derive explanations. Embodiments of the present invention may include providing the explanations as an output.