Flight Delay Prediction on Incheon Airport (MAR)
0.9468MAELLM4Delay
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 | 0.9468 | 1.6113 | 9.8541 | 0.9457 | |
| TCNInput Features=FF_i, FM_t, Na_{i,t}, Xf_{i,t}2025.10 | 1.2566 | 2.9137 | 11.2816 | 0.9017 | |
| TransformerInput Features=FF_i, FM_t, Na_{i,t}, Xf_{i,t}2025.10 | 1.4219 | 3.3427 | 12.4548 | 0.8873 | |
| Inverted TransformerInput Features=FF_i, FM_t, Na_{i,t}, Xf_{i,t}2025.10 | 1.4878 | 3.6432 | 13.2008 | 0.8771 | |
| LSTMInput Features=FF_i, FM_t, Na_{i,t}, Xf_{i,t}2025.10 | 1.5706 | 4.2926 | 13.6808 | 0.8552 | |
| LSTM-AttentionInput Features=FF_i, FM_t, Na_{i,t}, Xf_{i,t}2025.10 | 1.6242 | 4.512 | 13.9909 | 0.8478 | |
| Random ForestInput Features=FF_i, FM_t, Na_{i,t}2025.10 | 2.6981 | 12.599 | 20.4101 | 0.5751 | |
| XGBoostInput Features=FF_i, FM_t, Na_{i,t}2025.10 | 2.7675 | 12.897 | 20.9169 | 0.565 | |
| Linear RegressionInput Features=FF_i, FM_t, Na_{i,t}2025.10 | 3.6065 | 21.6914 | 25.8623 | 0.2684 | |
| MLPInput Features=FF_i, FM_t, Na_{i,t}2025.10 | 4.0178 | 25.8329 | 28.3771 | 0.1288 | |
| SVMInput Features=FF_i, FM_t, Na_{i,t}2025.10 | 4.4374 | 30.5925 | 30.71 | -0.0318 |