THE RESULT
What the data shows
The largest computed metric is 0 for Reversed X bounds; the smallest is 0 for Reversed X bounds. Metric: flagged_rows (Rows flagged).
These rules check internal consistency only; passing them does not certify source labels or image quality.
| rule | flagged rows | checked rows | flagged share |
|---|---|---|---|
| Reversed X bounds | 0 | 1,941 | 0 |
| Reversed Y bounds | 0 | 1,941 | 0 |
| Nonpositive area | 0 | 1,941 | 0 |
| Negative X perimeter | 0 | 1,941 | 0 |
| Reversed luminosity bounds | 0 | 1,941 | 0 |
| Steel type flags not one-hot | 0 | 1,941 | 0 |
THE METHOD
From source to answer
Explicit geometry validation rules with counts and denominators.
The Python source exposes this study’s transformations. The complete project download includes shared preparation and evaluation routines.
THE NEXT DECISION
What follows from the finding
Review flagged records against original images before correcting measurements.
Where the conclusion stops
Every source row is a recorded fault. The data cannot estimate a production defect rate or distinguish healthy plates. Batch and machine IDs are absent, so grouped exact-input holdouts do not prove factory transfer.
Related studies may reuse observations or holdouts. These are historical analyses; associations and backtests do not demonstrate commercial impact. Further model tuning needs new, untouched evaluation data.