Research Article
A Machine Learning-Based Water Potability Prediction Model by Using Synthetic Minority Oversampling Technique and Explainable AI
Table 6
Classification report for different machine learning classifiers.
| Model name | Class label | Classification report | Precision | Recall | F1- score | Accuracy |
| RFT | Not portable | 0.83 | 0.80 | 0.82 | 0.81 | Portable | 0.80 | 0.81 | 0.81 |
| XGBoost | Not portable | 0.82 | 0.79 | 0.80 | 0.80 | Portable | 0.79 | 0.82 | 0.80 |
| Decision Tree | Not portable | 0.74 | 0.71 | 0.73 | 0.73 | Portable | 0.71 | 0.74 | 0.73 |
| AdaBoost | Not portable | 0.74 | 0.60 | 0.66 | 0.70 | Portable | 0.65 | 0.78 | 0.71 |
| SVC | Not portable | 0.74 | 0.81 | 0.77 | 0.75 | Portable | 0.78 | 0.70 | 0.73 |
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