Mobility Prediction on Zhongshan extreme scenarios (test)
28.97Acc@1X-MLM@STiSAN+
Evaluation Results
| Method | Links | ||||||||
|---|---|---|---|---|---|---|---|---|---|
| X-MLM@STiSAN+base_predictor=STiSAN+2025.07 | 28.97 | 51.18 | 32.09 | 32.83 | 46.01 | 50.12 | 51.14 | 50.62 | |
| X-MLM@DeepMovebase_predictor=DeepMove2025.07 | 25.87 | 49.82 | 29.05 | 30.97 | 35.78 | 48.63 | 49.01 | 48.82 | |
| DeepMob2025.07 | 21.8 | 42.9 | 25.01 | 27.89 | 37.01 | 38.71 | 35.4 | 36.99 | |
| ST-MoE-BERT2025.07 | 21.19 | 41.87 | 24.78 | 31.98 | 36.99 | 33.87 | 32.9 | 33.37 | |
| STiSAN+2025.07 | 18.72 | 31.98 | 21.87 | 24.65 | 36.5 | 36.81 | 38.19 | 37.49 | |
| CATUS2025.07 | 17.81 | 22.97 | 14.02 | 16.21 | 31.76 | 27.76 | 28.09 | 27.92 | |
| X-MLM@Flashbackbase_predictor=Flashback2025.07 | 15.79 | 33.42 | 13.98 | 20.22 | 33.76 | 42.07 | 43.98 | 43.01 | |
| HMM+MDP2025.07 | 15.32 | 31.27 | 19.7 | 21.66 | 33.19 | 36.13 | 35.97 | 36.05 | |
| CHAML2025.07 | 13.77 | 20.97 | 12.24 | 14.01 | 29.98 | 24.12 | 25.88 | 24.96 | |
| DeepMove@LSTMBase Model=LSTM2025.07 | 13.54 | 27.96 | 18.32 | 19.17 | 31.98 | 33.58 | 32.97 | 33.25 | |
| LLM4POI2025.07 | 11.86 | 24.13 | 15.22 | 16.12 | 29.76 | 29.71 | 30.87 | 30.31 | |
| Flashback@LSTMBase Model=LSTM2025.07 | 8.54 | 21.43 | 11.67 | 16.33 | 28.74 | 27.81 | 22.19 | 24.68 | |
| LSTM2025.07 | 3.81 | 18.92 | 4.36 | 7.29 | 11.09 | 16.98 | 13.75 | 15.18 | |
| GRU2025.07 | 3.67 | 16.49 | 3.59 | 6.82 | 9.03 | 16.24 | 13.34 | 14.65 |