Model Calibration

Fact

A technique that makes model confidence match its real chance of being right.

In Plain Words

Model calibration is like a weather app with manners. If it says 70% chance of rain, it should rain about 7 out of 10 times.

You meet it in hospitals, banks, and self-driving cars. It helps AI know when to call a human.

Related Concepts

• Model uncertainty
• AI Abstention
• Softmax normalization function
• Classification Task

Model uncertainty
Model calibration makes uncertainty scores closer to real risk.

AI Abstention
AI can refuse to answer when its confidence is trustworthy.

Softmax
Softmax scores can look like probabilities, and calibration helps fix them.

Classification
Classification often needs calibrated class probabilities.