**Algorithm:** Decision Tree
**Task:** Binary Classification — predict `Engine Condition`

## Performance (held-out test set)

| Metric    | Value  |
|-----------|--------|
| Accuracy  | 0.6404 |
| Precision | 0.6871 |
| Recall    | 0.7889 |
| F1-Score  | 0.7345 |
| ROC AUC   | 0.6687 |

## Best Hyperparameters

```json
{

## Usage

```python
import joblib
from huggingface_hub import hf_hub_download

path = hf_hub_download(repo_id="vikashHugFace/engine-failure-prediction-model", filename="best_model.pkl")
model = joblib.load(path)
predictions = model.predict(X_new)
```