Get a model comparison
Get a comparison's metrics.
Returns each entry's metric bundle (aggregate + per-field accuracy, latency, dataset baseline) and its lift against the baseline entry.
Every entry is re-scored on each read, so the parameters below decide the answer and none of them had to be chosen before the run started. Re-reading with different settings costs nothing — no model calls are repeated.
Structure — how array elements pair up:
- orderMatching: score array elements in order instead of as sets
Strictness — how close two values must be to count as equal:
- matchMode: strict (default) | normalized | fuzzy
matchMode is the whole of strictness. There are no separate thresholds to tune: normalized already compares numbers numerically and dates by calendar value rather than by spelling, and fuzzy adds a fixed similarity pass over free text.
Path parameters
The comparisonID returned by POST /v3/model-comparisons.
Query parameters
strict (default), normalized, or fuzzy. Any other value is a 400 — an unrecognized mode is rejected rather than scored at some other strictness.
Score array elements in order instead of as sets.
Include per-row, per-field comparison detail (rowResults) on each entry, scored under the same settings as the metrics. Powers mislabel detection. Off by default — it can be large.
Response
The request has succeeded.