write-with-marker
/

xgboost-arbiter

Model card Files Files and versions

YAML Metadata Warning:empty or missing yaml metadata in repo card

Check out the documentation for more information.

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).

Downloads last month: -; Downloads are not tracked for this model. How to track

Inference Providers NEW

This model isn't deployed by any Inference Provider. 🙋 Ask for provider support