Spatial-Temporal-Decoupled Masked Pre-training for Spatiotemporal Forecasting

Benchmark Model Rank Results
traffic-prediction-on-expy-tky-1STD-MAE#11 step MAE: 5.733 step MAE: 6.416 step MAE: 6.75
traffic-prediction-on-metr-laSTD-MAE#8MAE @ 12 step: 3.4012 steps MAE: 3.4012 steps MAPE: 9.59
traffic-prediction-on-pems-baySTD-MAE#3MAE @ 12 step: 1.77RMSE: 4.20
traffic-prediction-on-pems04STD-MAE#112 Steps MAE: 17.80
traffic-prediction-on-pems07STD-MAE#1MAE@1h: 18.31
traffic-prediction-on-pemsd3STD-MAE#112 steps MAE: 13.8012 steps MAPE: 13.9612 steps RMSE: 24.43
traffic-prediction-on-pemsd4STD-MAE#212 steps MAE: 17.80
traffic-prediction-on-pemsd7STD-MAE#112 steps MAE: 18.3112 steps MAPE: 7.7212 steps RMSE: 31.07
traffic-prediction-on-pemsd7-lSTD-MAE#112 steps MAE: 2.6412 steps MAPE: 6.6512 steps RMSE: 5.50
traffic-prediction-on-pemsd7-mSTD-MAE#112 steps MAE: 2.5212 steps MAPE: 6.3512 steps RMSE: 5.20
traffic-prediction-on-pemsd8STD-MAE#412 steps MAE: 13.4412 steps MAPE: 8.7612 steps RMSE: 22.47