Jev and System One Models: Calibration Beats Accuracy

The author discusses how calibration and accuracy are often confused, but are distinct concepts. Calibration refers to the ability of a model to correctly predict its probability of being correct, while accuracy refers to the model's ability to make correct predictions. The author presents the Jev and System One models, two models that demonstrate the difference between calibration and accuracy. The Jev model is a calibrated model that prioritizes calibration over accuracy, while the System One model is an uncalibrated model that prioritizes accuracy over calibration.