60 day-ahead forecasting on PM10 in Mumbai (JULY-AUG)
18.26MAEGCSVR
Evaluation results
| Method | Links | ||||||
|---|---|---|---|---|---|---|---|
| GCSVRModel Type=Proposed2026.05 | 18.26 | 26.65 | 0.88 | 40.91 | 11.35 | 18.08 | |
| STARMAModel Type=Spatio-Temporal Model2026.05 | 25.94 | 35.24 | 1.28 | 54.75 | 12.97 | 24.03 | |
| NBeatsModel Type=Temporal Model2026.05 | 27.5 | 38.89 | 0.6 | 58.42 | 15.95 | 20.29 | |
| GSTARModel Type=Spatio-Temporal Model2026.05 | 30.62 | 39.96 | 1.52 | 71.59 | 15.31 | 23.35 | |
| DeepARModel Type=Temporal Model2026.05 | 36.39 | 43.98 | 1.87 | 60.5 | 33.49 | 27.31 | |
| LSTMModel Type=Temporal Model2026.05 | 37.53 | 46.38 | 1.93 | 62.2 | 18.77 | 24.6 | |
| GpGpModel Type=Spatio-Temporal Model2026.05 | 47.69 | 53.33 | 2.44 | 72.01 | 23.85 | 32.13 | |
| ARIMAModel Type=Temporal Model2026.05 | 58.48 | 63.15 | 2.87 | 80.64 | 13.61 | 37.3 | |
| STGCNModel Type=Spatio-Temporal Model2026.05 | 63.76 | 67.8 | 1.7 | 85.1 | 14.72 | 50.19 | |
| Trans.Model Type=Temporal Model2026.05 | 70.29 | 71.19 | 4.12 | 90.01 | 14.06 | 63.91 |