Time-series forecasting on Delhi PM10 (MAY-JUN)
61.15MAEGCSVR
Evaluation results
| Method | Links | ||||||
|---|---|---|---|---|---|---|---|
| GCSVRForecasting horizon=60-day ahead, Model category=Proposed2026.05 | 61.15 | 80.33 | 1.37 | 36 | 30.58 | 47.43 | |
| NBeatsForecasting horizon=60-day ahead, Model category=Temporal Model2026.05 | 67.01 | 95.91 | 1.35 | 42.9 | 50.75 | 98.39 | |
| GpGpForecasting horizon=60-day ahead, Model category=Spatio-Temporal Model2026.05 | 67.53 | 87.32 | 1.4 | 41.7 | 33.56 | 87.12 | |
| ARIMAForecasting horizon=60-day ahead, Model category=Temporal Model2026.05 | 71.99 | 89.34 | 1.48 | 43.6 | 30.71 | 86.48 | |
| STGCNForecasting horizon=60-day ahead, Model category=Spatio-Temporal Model2026.05 | 75.81 | 90.26 | 1.57 | 45.48 | 32.42 | 86.72 | |
| Trans.Forecasting horizon=60-day ahead, Model category=Temporal Model2026.05 | 83.16 | 113.32 | 1.65 | 56 | 64.84 | 104.04 | |
| GSTARForecasting horizon=60-day ahead, Model category=Spatio-Temporal Model2026.05 | 111.88 | 134 | 2.27 | 100.8 | 89.01 | 103.36 | |
| STARMAForecasting horizon=60-day ahead, Model category=Spatio-Temporal Model2026.05 | 129.13 | 150.33 | 2.61 | 128.8 | 103.25 | 103.8 | |
| DeepARForecasting horizon=60-day ahead, Model category=Temporal Model2026.05 | 143.09 | 164.85 | 2.9 | 149.3 | 114.47 | 104.87 | |
| LSTMForecasting horizon=60-day ahead, Model category=Temporal Model2026.05 | 145.59 | 167.01 | 2.95 | 155.2 | 116.47 | 104.87 |