Flight Delay Prediction on Incheon Airport (NOV)
1.1344MAELLM4Delay
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 | 1.1344 | 2.9348 | 15.8712 | 89.54 | |
| TCNInput Features=FF_i, FM_t, Na_{i,t}, Xf_{i,t}2025.10 | 1.1896 | 3.3362 | 16.3456 | 88.11 | |
| TransformerInput Features=FF_i, FM_t, Na_{i,t}, Xf_{i,t}2025.10 | 1.4193 | 4.3975 | 17.6136 | 84.33 | |
| LSTMInput Features=FF_i, FM_t, Na_{i,t}, Xf_{i,t}2025.10 | 1.4519 | 4.6929 | 18.0505 | 83.27 | |
| Inverted TransformerInput Features=FF_i, FM_t, Na_{i,t}, Xf_{i,t}2025.10 | 1.4897 | 5.0118 | 18.6612 | 82.14 | |
| LSTM-AttentionInput Features=FF_i, FM_t, Na_{i,t}, Xf_{i,t}2025.10 | 1.6919 | 5.7616 | 21.4366 | 79.46 | |
| Random ForestInput Features=FF_i, FM_t, Na_{i,t}2025.10 | 2.2421 | 10.0289 | 24.8778 | 64.26 | |
| XGBoostInput Features=FF_i, FM_t, Na_{i,t}2025.10 | 2.3605 | 10.4083 | 26.0681 | 62.9 | |
| MLPInput Features=FF_i, FM_t, Na_{i,t}2025.10 | 3.1997 | 17.9052 | 32.6722 | 36.18 | |
| SVMInput Features=FF_i, FM_t, Na_{i,t}2025.10 | 3.6603 | 23.1674 | 36.2046 | 17.43 | |
| Linear RegressionInput Features=FF_i, FM_t, Na_{i,t}2025.10 | 3.6959 | 21.4376 | 36.5095 | 23.59 |