Evaluation
Calibration
Evaluation· Advanced
Definition
The alignment between a model's stated confidence in its predictions and the actual accuracy of those predictions. A well-calibrated model that says it's 80% confident should be correct 80% of the time. Miscalibrated models mislead users — overconfident models are particularly dangerous in high-stakes applications.
Enterprise Context
Critical for enterprise decision support. AI systems used in medical diagnosis, financial forecasting, or legal review must be well-calibrated — overconfidence causes errors with serious consequences.
Tags
#confidence#reliability#probability
MS
Maxx Stacks Editorial
Reviewed by enterprise AI practitioners
Maxx University
Keep learning. Keep building.
250+ terms. 5 learning paths. AI maturity assessment. Jargon translator. All free, always.