| # Model Card · B4 — What caused this event, from the operator's free-text note? | |
| *Generated 2026-09-02 from `reports/` — do not edit by hand.* | |
| ## What this model answers | |
| What caused this event, from the operator's free-text note? | |
| ## Caveats | |
| - Descriptions mix English and Kannada, often within one entry. Character n-grams are used rather than word tokenisation. | |
| - Per-language F1 is reported because a single macro-F1 could hide a model that works on the English majority and fails on Kannada. | |
| ## Results | |
| Ranked by **Macro F1 ↑** (higher is better). Every family that ran is listed, including those that lost — the comparison is the deliverable. Figures come from a single chronological split, so there is no spread to report. | |
| | Model | Family | Macro F1 ↑ | Accuracy ↑ | Macro F1 · en ↑ | Macro F1 · kn ↑ | Fit | Beats baseline | | |
| |---|---|---:|---:|---:|---:|---:|---| | |
| | `tfidf_char_logreg` | nlp | 0.4782 | 0.6555 | 0.4833 | 0.4717 | — | yes | | |
| | `majority` | baseline | 0.0441 | — | — | — | — | *baseline* | | |
| **Best learned family: `tfidf_char_logreg`** at 0.4782, 10.8x the strongest baseline (`majority` at 0.0441). | |
| ## Reproduction | |
| ```bash | |
| make data && make ingest && make features | |
| make train-b | |
| ``` | |
| Seed `42`. Splits are chronological, never random. | |