Book III

Evaluation and product ML

Metrics, experimental validity, calibration, product decisions, and production evaluation.

4 chapters · 25 entries

Chapters

III.1

Start with confusion counts, test probability quality, then choose an operating threshold or abstention rule.

III.2

Design splits and experiments that survive leakage, variance, and contamination.

III.3

Evaluate language, ranking, interpretability, and judge-based systems.

III.4

Choose metrics, run valid tests, diagnose disagreement, and make a ship decision.