Flight Delay Prediction on Incheon Airport (AVG)
1.1261MAELLM4Delay
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 | 1.1261 | 3.1201 | 12.5534 | 0.8634 | |
| TCNInput Features=FF_i, FM_t, Na_{i,t}, Xf_{i,t}2025.10 | 1.3956 | 4.4016 | 14.3466 | 0.7807 | |
| Inverted TransformerInput Features=FF_i, FM_t, Na_{i,t}, Xf_{i,t}2025.10 | 1.4569 | 4.6144 | 15.0471 | 0.7982 | |
| TransformerInput Features=FF_i, FM_t, Na_{i,t}, Xf_{i,t}2025.10 | 1.4659 | 4.5468 | 15.1829 | 0.8023 | |
| LSTMInput Features=FF_i, FM_t, Na_{i,t}, Xf_{i,t}2025.10 | 1.5614 | 5.1793 | 15.9833 | 0.7685 | |
| LSTM-AttentionInput Features=FF_i, FM_t, Na_{i,t}, Xf_{i,t}2025.10 | 1.6519 | 5.6884 | 16.7004 | 0.7586 | |
| XGBoostInput Features=FF_i, FM_t, Na_{i,t}2025.10 | 2.8047 | 14.7094 | 24.7955 | 0.4351 | |
| Random ForestInput Features=FF_i, FM_t, Na_{i,t}2025.10 | 2.9256 | 16.3349 | 25.2075 | 0.36 | |
| MLPInput Features=FF_i, FM_t, Na_{i,t}2025.10 | 3.2006 | 18.5347 | 27.1596 | 0.2798 | |
| Linear RegressionInput Features=FF_i, FM_t, Na_{i,t}2025.10 | 3.6039 | 22.4435 | 29.7304 | 0.1094 | |
| SVMInput Features=FF_i, FM_t, Na_{i,t}2025.10 | 3.6889 | 22.8909 | 30.6063 | 0.0606 |