Time-series forecasting on Delhi PM10 (JULY-AUG)
26.53MAEGCSVR
Evaluation Results
| Method | Links | ||||||
|---|---|---|---|---|---|---|---|
| GCSVRForecasting horizon=60-day ahead, Model category=Proposed2026.05 | 26.53 | 34.68 | 0.58 | 27.63 | 13.27 | 30.52 | |
| NBeatsForecasting horizon=60-day ahead, Model category=Temporal Model2026.05 | 42.82 | 54.78 | 2.04 | 40.7 | 21.15 | 57.72 | |
| ARIMAForecasting horizon=60-day ahead, Model category=Temporal Model2026.05 | 58.1 | 65.4 | 2.9 | 50.4 | 13.75 | 59.61 | |
| Trans.Forecasting horizon=60-day ahead, Model category=Temporal Model2026.05 | 59.7 | 67.62 | 3.05 | 52.5 | 15.87 | 61.12 | |
| GpGpForecasting horizon=60-day ahead, Model category=Spatio-Temporal Model2026.05 | 70.26 | 78.6 | 3.65 | 58.2 | 17.58 | 66.9 | |
| STARMAForecasting horizon=60-day ahead, Model category=Spatio-Temporal Model2026.05 | 76.47 | 91.86 | 3.62 | 110.1 | 60.88 | 66.1 | |
| GSTARForecasting horizon=60-day ahead, Model category=Spatio-Temporal Model2026.05 | 77.41 | 93.15 | 3.69 | 112.7 | 61.64 | 66.26 | |
| DeepARForecasting horizon=60-day ahead, Model category=Temporal Model2026.05 | 82.17 | 92.87 | 3.9 | 125.2 | 65.73 | 64.63 | |
| LSTMForecasting horizon=60-day ahead, Model category=Temporal Model2026.05 | 87.62 | 97.74 | 4.18 | 142.7 | 70.09 | 64.63 | |
| STGCNForecasting horizon=60-day ahead, Model category=Spatio-Temporal Model2026.05 | 104.24 | 111.69 | 5.22 | 73.42 | 22.79 | 82.76 |