Evaluation Methodology

An evaluation measures a configured system against a versioned dataset using selected metrics. A meaningful comparison keeps the dataset, metric configuration, and system connection explicit.

The evaluation lifecycle has six stages:

1. Create a project to anchor your work
2. Register the system under test and connect it
3. Upload and version a dataset and promote a golden version as your baseline
4. Bundle everything into an evaluation config
5. Launch runs and read their results
6. Manage the lifecycle of what you've created

Results contain per-row scores and aggregates. Analysis groups and summarizes those observations, including breakdowns by project dimensions. A score threshold expresses the criterion configured for that metric; it does not by itself establish that a system is safe for every deployment.

See evaluation configs and result interpretation.