Estimating Classification Confidence Using Kernel Densities

Peter Salamon, David Salamon, V. Adrian Cantu +4

This paper investigates the post-hoc calibration of confidence for "exploratory" machine learning classification problems. The difficulty in these problems stems from the continuin…