Temperature scaling
Fixing an overconfident model by dividing its scores by a temperature T found by maximum likelihood on held-out data. It improves calibration without changing accuracy.
Fixing an overconfident model by dividing its scores by a temperature T found by maximum likelihood on held-out data. It improves calibration without changing accuracy.