# V16 Ready Note

## V16 file
- Notebook: `/Users/indiadelhi/iitmod/D-GProject/notebooks/DL_21f2000735_notebook_t12026.ipynb`

## Why V16 now
- Latest local benchmark winner among compared variants:
  - v14-like: 0.7403
  - v15-like: 0.7622
  - v16-like: 0.7904  ✅ best
  - v17-like: 0.7708

## Submit checklist
1. Open V16 notebook in Kaggle.
2. Run all cells to generate `submission.csv`.
3. Confirm row count and schema (`id,genre`).
4. Submit and record LB score in notes.

## Post-submit logging
- Save score and run details to:
  - `notes/common-output/experiments/v14_v15_v16_v17_local.latest.json`
  - `notes/common-learning.md`