# XGBoost Experiment

Gradient boosting experiment using XGBoost for binary classification.

## Usage
```bash
python train.py --n_estimators 100 --max_depth 6 --learning_rate 0.1 --output_dir ./results
```

## Results
Results are saved in JSON format with accuracy metrics and XGBoost model file.
