Results for "training mismatch"

Testing AI under actual clinical conditions.

Unequal performance across demographic groups.

Models estimating recidivism risk.

A conceptual framework describing error as the sum of systematic error (bias) and sensitivity to data (variance).

A measure of a model class’s expressive capacity based on its ability to shatter datasets.

Training a smaller “student” model to mimic a larger “teacher,” often improving efficiency while retaining performance.