30-day ahead forecasting on PM10 in Delhi MAR
48.03MAEGCSVR
Evaluation results
| Method | Links | ||||||
|---|---|---|---|---|---|---|---|
| GCSVRModel Category=Proposed2026.05 | 48.03 | 1.08 | 59.68 | 27.87 | 24.02 | 36.58 | |
| STGCNModel Category=Spatio-Temporal Model2026.05 | 49.95 | 1.26 | 60.05 | 29.01 | 16.54 | 72.26 | |
| ARIMAModel Category=Temporal Model2026.05 | 51.41 | 1.29 | 62.16 | 29.6 | 14.42 | 73.61 | |
| GSTARModel Category=Spatio-Temporal Model2026.05 | 51.87 | 1.26 | 61.11 | 31.6 | 30.48 | 77.35 | |
| NBeatsModel Category=Temporal Model2026.05 | 52 | 1.31 | 64.42 | 29.5 | 14.23 | 75.46 | |
| Trans.Model Category=Temporal Model2026.05 | 52.33 | 1.23 | 63.41 | 31.3 | 37.08 | 82.38 | |
| STARMAModel Category=Spatio-Temporal Model2026.05 | 54.18 | 1.3 | 64.1 | 33.4 | 34.13 | 80.74 | |
| GpGpModel Category=Spatio-Temporal Model2026.05 | 60.8 | 1.61 | 71 | 34.4 | 18.4 | 78 | |
| DeepARModel Category=Temporal Model2026.05 | 154.64 | 3.8 | 162.02 | 158.1 | 123.71 | 105.9 | |
| LSTMModel Category=Temporal Model2026.05 | 159.77 | 3.93 | 166.91 | 169.1 | 127.82 | 105.9 |