Flight Delay Prediction on Incheon Airport (SEP)
1.147MAELLM4Delay
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 | 1.147 | 3.7346 | 13.402 | 0.8783 | |
| TCNInput Features=FF_i, FM_t, Na_{i,t}, Xf_{i,t}2025.10 | 1.4118 | 4.2207 | 15.9127 | 0.8624 | |
| Inverted TransformerInput Features=FF_i, FM_t, Na_{i,t}, Xf_{i,t}2025.10 | 1.4503 | 4.6546 | 16.6367 | 0.8483 | |
| TransformerInput Features=FF_i, FM_t, Na_{i,t}, Xf_{i,t}2025.10 | 1.6156 | 5.1773 | 17.8702 | 0.8312 | |
| LSTMInput Features=FF_i, FM_t, Na_{i,t}, Xf_{i,t}2025.10 | 1.8761 | 6.2364 | 20.3949 | 0.7967 | |
| LSTM-AttentionInput Features=FF_i, FM_t, Na_{i,t}, Xf_{i,t}2025.10 | 2.1349 | 7.9232 | 22.8866 | 0.7417 | |
| Random ForestInput Features=FF_i, FM_t, Na_{i,t}2025.10 | 2.5397 | 13.8467 | 22.9631 | 0.5486 | |
| XGBoostInput Features=FF_i, FM_t, Na_{i,t}2025.10 | 2.7166 | 13.641 | 25.548 | 0.5554 | |
| Linear RegressionInput Features=FF_i, FM_t, Na_{i,t}2025.10 | 3.7327 | 23.4525 | 33.22 | 0.2355 | |
| MLPInput Features=FF_i, FM_t, Na_{i,t}2025.10 | 3.9842 | 27.0943 | 35.4357 | 0.1168 | |
| SVMInput Features=FF_i, FM_t, Na_{i,t}2025.10 | 4.5773 | 33.7065 | 40.077 | -0.0987 |