Machine learning classifiers prediction confidence and explanation

A computer system comprising:

• one or more processors, one or more computer-readable memories, one or more computer-readable tangible storage media, and program instructions stored on at least one of the one or more computer-readable tangible storage media for execution by at least one of the one or more processors via at least one of the one or more computer-readable memories, wherein the computer system is capable of performing a method comprising:
• obtaining a dataset;
• training a first classifier using the dataset to generate probabilities;
• generating confidence scores using the first classifier;
• defining targeted confidence zones by transforming the generated probabilities into the confidence scores;
• training a second classifier to derive explanations;
• and
• providing the explanations as an output.

A computer program product comprising:

• one or more computer-readable tangible storage media and program instructions stored on at least one of the one or more computer-readable tangible storage media, the program instructions executable by a processor to cause the processor to perform a method comprising:
• obtaining a dataset;
• training a first classifier using the dataset to generate probabilities;
• generating confidence scores using the first classifier;
• defining targeted confidence zones by transforming the generated probabilities into the confidence scores;
• training a second classifier to derive explanations;
• and
• providing the explanations as an output.