README.md

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).