Recognises a ratio averaged across segments
Segment ratios averaged instead of recomputed.
Can AI do this?
Not settled yet The benchmark tested this, but the models' answers do not settle yet whether they master it. 0 of 4 models in the current benchmark master it.
| Model | Tier | Probability of mastery | Status |
|---|---|---|---|
| gemini-4-argon | Flagship | 61% | Not shown |
| gemini-3.5-flash-lite | Low cost | 46% | Not shown |
| gpt-6-luna | Low cost | 59% | Not shown |
| claude-haiku-5-5 | Low cost | 52% | Not shown |
Mastered means a probability of at least 90% that the model has this knobit, estimated from its graded answers. “Not shown” means the answers do not settle it either way. How the models are tested.
What it looks like in practice
Expected result: The ratio recomputed from summed parts
How it is assessed: Flags the deficient case and passes the acceptable one. Deficient: KP-002 total NPL = mean of segment NPL ratios Acceptable: Sum of NPL / sum of loans
Also known as: Ratio averaged across segments
Related knobits
Builds on
- W-252 Explains additivity of facts
- Q-1901 Explains a pooled rate as the weighted mean of its population rates
Usually followed by
All 19 knobits of Define metrics and KPIs.
Source: Review checklist 02-metric-definitions, row 5 (Kimball)