Research Article
A Machine Learning-Based Water Potability Prediction Model by Using Synthetic Minority Oversampling Technique and Explainable AI
Table 7
Importance of different features.
| Parameters | Contribution in final output (%) |
| pH | 18 | Hardness | 9 | Solids | 9 | Chloramines | 8 | Sulfate | 27 | Conductivity | 7 | Organic carbon | 8 | Trihalomethanes | 7 | Turbidity | 7 |
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