Data Quality Score
A 0-1 score attached to every ML training record. Starts at 1.00, deducted for estimated values (-0.05), null required fields (-0.10), and unverified assets (-0.15).
| Audience | Name |
|---|---|
| Engineering (code) | — |
| Design (UI label) | — |
| Borrower-facing | — |
| Do not use | — |
Sources
- Clarity Engine Glossary — data_quality_score