60-day ahead forecasting on PM2.5 Mumbai NOV-DEC
18.63MAEARIMA
Evaluation results
| Method | Links | ||||||
|---|---|---|---|---|---|---|---|
| ARIMAModel Category=Temporal Model2026.05 | 18.63 | 21.83 | 2.19 | 39.27 | 12.24 | 14.13 | |
| STGCNModel Category=Spatio-Temporal Model2026.05 | 20.05 | 23.54 | 1.27 | 41.64 | 12.34 | 15.07 | |
| GpGpModel Category=Spatio-Temporal Model2026.05 | 20.27 | 23.43 | 2.39 | 45 | 10.13 | 15.27 | |
| GCSVRModel Category=Proposed2026.05 | 22.29 | 26.47 | 2.61 | 50.14 | 14.18 | 16.59 | |
| DeepARModel Category=Temporal Model2026.05 | 26.4 | 31.76 | 3.12 | 60.81 | 9.91 | 16.39 | |
| NBeatsModel Category=Temporal Model2026.05 | 26.94 | 32.71 | 1.29 | 66.71 | 20.07 | 18.98 | |
| LSTMModel Category=Temporal Model2026.05 | 27.07 | 32.93 | 3.17 | 60.88 | 13.53 | 15.99 | |
| GSTARModel Category=Spatio-Temporal Model2026.05 | 30.55 | 34.28 | 3.7 | 76.3 | 15.28 | 24.06 | |
| STARMAModel Category=Spatio-Temporal Model2026.05 | 31.89 | 35.48 | 3.8 | 80.37 | 15.94 | 22.26 | |
| Trans.Model Category=Temporal Model2026.05 | 40.52 | 44.42 | 6.24 | 62.99 | 32.42 | 31.12 |