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ResearchFormerly WizWand

Flight Delay Prediction on Incheon Airport (AVG)

1.1261MAELLM4Delay
1.0235881.7155442.40753.099456Oct 24, 2025
Updated 6mo ago

Evaluation results

MethodLinks
LLM4DelayInput Features=PF_{i,t}, PM_t, PT_t, PN_t, Xf_{i,t}, Xa_{i,t}, Xp_{i,t}2025.101.12613.120112.55340.8634
TCNInput Features=FF_i, FM_t, Na_{i,t}, Xf_{i,t}2025.101.39564.401614.34660.7807
Inverted TransformerInput Features=FF_i, FM_t, Na_{i,t}, Xf_{i,t}2025.101.45694.614415.04710.7982
TransformerInput Features=FF_i, FM_t, Na_{i,t}, Xf_{i,t}2025.101.46594.546815.18290.8023
LSTMInput Features=FF_i, FM_t, Na_{i,t}, Xf_{i,t}2025.101.56145.179315.98330.7685
LSTM-AttentionInput Features=FF_i, FM_t, Na_{i,t}, Xf_{i,t}2025.101.65195.688416.70040.7586
XGBoostInput Features=FF_i, FM_t, Na_{i,t}2025.102.804714.709424.79550.4351
Random ForestInput Features=FF_i, FM_t, Na_{i,t}2025.102.925616.334925.20750.36
MLPInput Features=FF_i, FM_t, Na_{i,t}2025.103.200618.534727.15960.2798
Linear RegressionInput Features=FF_i, FM_t, Na_{i,t}2025.103.603922.443529.73040.1094
SVMInput Features=FF_i, FM_t, Na_{i,t}2025.103.688922.890930.60630.0606