Confidence Calibration in Intelligence ML Systems: Closing the Gap Between Predicted and Actual Accuracy
Learn why poorly calibrated ML confidence scores mislead intelligence analysts and how calibration techniques can make model outputs operationally trustworthy.
R. Tanaka