30-day ahead forecasting on PM10 in Delhi JUN
37.74MAEGCSVR
Evaluation results
| Method | Links | ||||||
|---|---|---|---|---|---|---|---|
| GCSVRModel Category=Proposed2026.05 | 37.74 | 0.85 | 49.41 | 28.33 | 18.87 | 31.75 | |
| NBeatsModel Category=Temporal Model2026.05 | 43.32 | 1.27 | 56.31 | 33.4 | 23.77 | 62.06 | |
| Trans.Model Category=Temporal Model2026.05 | 47.59 | 1.42 | 58.79 | 36 | 20.32 | 63 | |
| ARIMAModel Category=Temporal Model2026.05 | 67.66 | 2 | 81.88 | 45.1 | 20.16 | 80.27 | |
| GpGpModel Category=Spatio-Temporal Model2026.05 | 69.23 | 2.09 | 82.67 | 47 | 23.2 | 81.28 | |
| STGCNModel Category=Spatio-Temporal Model2026.05 | 72.83 | 2.17 | 82.26 | 48.73 | 19.06 | 77.44 | |
| GSTARModel Category=Spatio-Temporal Model2026.05 | 74.67 | 2.11 | 89.19 | 70.9 | 59.68 | 83.14 | |
| STARMAModel Category=Spatio-Temporal Model2026.05 | 87.2 | 2.46 | 100.34 | 90 | 69.76 | 83.63 | |
| DeepARModel Category=Temporal Model2026.05 | 114.96 | 3.27 | 126.93 | 142.2 | 91.96 | 84.39 | |
| LSTMModel Category=Temporal Model2026.05 | 117.99 | 3.36 | 129.68 | 150.1 | 94.39 | 84.39 |