Research Article
[Retracted] Intelligent Forecasting of Air Quality and Pollution Prediction Using Machine Learning
Table 7
Forecasting air quality levels.
| S. no | Deployment models | Predicted PM2.5 range (PClow-PChigh) | Default PM2.5 range (AQRlow-AQRhigh) | Air quality levels | Impact on health |
| 1. | Xgb | 0-18.583 | 0~30.0 | Good | Air is good for health | 2. | KNN | 18.583-25.023 | 3. | Adab | 25.023-28.234 | | 4. | RF | 28.234-49.032 | 31.0~60.0 | Satisfactory | Air is acceptable | 5. | RL | 49.032-51.334 | | 6. | LR | 51.334-65.345 | 61.0~90.0 | Moderately polluted | Irritation symptoms occur | | No models were found | Not in predicted range | 91.0~120.0 121.0~250.0 250+ | Poor Very poor Severe | Cause respiratory diseases |
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