| # XGBoost Arbiter |
|
|
| Binary classifier that predicts P(proposed_correction == ground_truth) from spellevator pipeline features. |
|
|
| ## Latest: seed48 |
|
|
| - **F0.5**: 0.8723 @ threshold 0.70 |
| - **Precision**: 89.5% |
| - **Recall**: 79.2% |
| - **Config**: max_depth=6, n_rounds=500, eta=0.1 |
|
|
| ## Usage |
|
|
|
|
|
|
| ## Files |
|
|
| - `model.json` — XGBoost booster |
| - `encoder.json` — category mappings for FeatureEncoder |
| - `training_log.json` — full metrics, threshold sweep, hyperparams |
| - `feature_importance.json` — feature gains |
|
|
| ## Training Data |
|
|
| 400k synthetic records from openrouter-llama70b-50k with programmatic corruption (90% corruption ratio). |
|
|
