This study aims to classify water resources, predict their safety, and explain the trained model. XGBoost is used to construct the model and predict the water datasets. SHAP is usued to explain the model.
pip install -r requirement.txt| Accuracy | Precision | Recall | F1-score |
|---|---|---|---|
| water-potability | 0.77 | 0.73 | 0.66 |
| water-quality | 0.96 | 0.93 | 0.78 |