Flight Delay Prediction on Incheon Airport (JUN)
1.4994MAELLM4Delay
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| LLM4DelayInput Features=PF_{i,t}, PM_t, PT_t, PN_t, Xf_{i,t}, Xa_{i,t}, Xp_{i,t}2025.10 | 1.4994 | 6.5747 | 0.1564 | 0.7705 | |
| TCNInput Features=FF_i, FM_t, Na_{i,t}, Xf_{i,t}2025.10 | 1.6767 | 7.6281 | 0.1674 | 0.7337 | |
| Inverted TransformerInput Features=FF_i, FM_t, Na_{i,t}, Xf_{i,t}2025.10 | 1.7794 | 7.729 | 0.1869 | 0.7302 | |
| TransformerInput Features=FF_i, FM_t, Na_{i,t}, Xf_{i,t}2025.10 | 1.7882 | 7.7314 | 0.1864 | 0.7301 | |
| LSTMInput Features=FF_i, FM_t, Na_{i,t}, Xf_{i,t}2025.10 | 1.9256 | 9.0215 | 0.1907 | 0.6851 | |
| LSTM-AttentionInput Features=FF_i, FM_t, Na_{i,t}, Xf_{i,t}2025.10 | 2.0494 | 10.4593 | 0.1994 | 0.6349 | |
| MLPInput Features=FF_i, FM_t, Na_{i,t}2025.10 | 3.3094 | 20.3649 | 0.2801 | 0.2891 | |
| XGBoostInput Features=FF_i, FM_t, Na_{i,t}2025.10 | 3.6868 | 24.5775 | 0.3103 | 0.142 | |
| Random ForestInput Features=FF_i, FM_t, Na_{i,t}2025.10 | 3.9416 | 26.5872 | 0.3288 | 0.0719 | |
| Linear RegressionInput Features=FF_i, FM_t, Na_{i,t}2025.10 | 4.1762 | 27.6779 | 0.3325 | 0.0338 | |
| SVMInput Features=FF_i, FM_t, Na_{i,t}2025.10 | 4.315 | 31.1163 | 0.3357 | -0.0862 |