Time-series forecasting on Delhi PM10 (JAN-FEB)
70.85MAEGCSVR
Evaluation results
| Method | Links | ||||||
|---|---|---|---|---|---|---|---|
| GCSVRForecasting horizon=60-day ahead, Model category=Proposed2026.05 | 70.85 | 90.67 | 1.67 | 26.66 | 35.43 | 53.55 | |
| STGCNForecasting horizon=60-day ahead, Model category=Spatio-Temporal Model2026.05 | 82.81 | 110.99 | 1.3 | 32.34 | 60.41 | 131.16 | |
| ARIMAForecasting horizon=60-day ahead, Model category=Temporal Model2026.05 | 94.47 | 113.55 | 1.53 | 35.1 | 30.47 | 124.5 | |
| NBeatsForecasting horizon=60-day ahead, Model category=Temporal Model2026.05 | 95.19 | 116.76 | 1.53 | 35.4 | 34.42 | 124.74 | |
| GpGpForecasting horizon=60-day ahead, Model category=Spatio-Temporal Model2026.05 | 101.61 | 130.47 | 1.58 | 40.7 | 74.52 | 149.54 | |
| GSTARForecasting horizon=60-day ahead, Model category=Spatio-Temporal Model2026.05 | 116.7 | 143.09 | 1.83 | 56.5 | 90.83 | 153.03 | |
| STARMAForecasting horizon=60-day ahead, Model category=Spatio-Temporal Model2026.05 | 120.61 | 147.89 | 1.88 | 61 | 91.92 | 152.08 | |
| Trans.Forecasting horizon=60-day ahead, Model category=Temporal Model2026.05 | 135.51 | 163.79 | 2.11 | 61.2 | 107.88 | 162.62 | |
| DeepARForecasting horizon=60-day ahead, Model category=Temporal Model2026.05 | 245.01 | 262.36 | 3.88 | 171.8 | 196.01 | 163.35 | |
| LSTMForecasting horizon=60-day ahead, Model category=Temporal Model2026.05 | 252.19 | 269.06 | 3.99 | 183 | 201.75 | 163.35 |