60 day-ahead forecasting on PM10 in Mumbai (SEPT-OCT)
18.14MAEGCSVR
Evaluation results
| Method | Links | ||||||
|---|---|---|---|---|---|---|---|
| GCSVRModel Type=Proposed2026.05 | 18.14 | 26.4 | 0.92 | 34.87 | 12.44 | 18.34 | |
| NBeatsModel Type=Temporal Model2026.05 | 28.95 | 36.77 | 0.64 | 45.34 | 9.41 | 20.45 | |
| STARMAModel Type=Spatio-Temporal Model2026.05 | 33.97 | 43.9 | 1.73 | 69.62 | 16.98 | 27.88 | |
| GSTARModel Type=Spatio-Temporal Model2026.05 | 34.41 | 44.41 | 1.77 | 71.88 | 17.21 | 26.6 | |
| GpGpModel Type=Spatio-Temporal Model2026.05 | 34.72 | 39.6 | 1.83 | 52.99 | 17.36 | 25.39 | |
| DeepARModel Type=Temporal Model2026.05 | 36.36 | 42.56 | 1.89 | 54.64 | 32.03 | 25.84 | |
| LSTMModel Type=Temporal Model2026.05 | 38.54 | 46.54 | 2 | 58.46 | 19.27 | 22.53 | |
| ARIMAModel Type=Temporal Model2026.05 | 48.63 | 52.75 | 2.41 | 65.83 | 11.84 | 31.16 | |
| STGCNModel Type=Spatio-Temporal Model2026.05 | 56.39 | 60.32 | 1.52 | 72.59 | 13.53 | 44.3 | |
| Trans.Model Type=Temporal Model2026.05 | 66.26 | 68.94 | 4.01 | 88.53 | 13.25 | 55.77 |