Prediction of Train Station Delay Based on Multiattention Graph Convolution Network

Table 9

Comparison of one-hour prediction performance of six models.

Model	MAE	RMSE	MAPE
ANN	0.6309	0.8499	53.6608
SVR	0.4447	0.8299	63.7141
RF	0.6146	0.9039	54.9183
LSTM	0.4960	0.8507	61.4930
TSTGCN	0.1600	0.4500	34.3600
MATGCN without MAtt	0.1500	0.4200	24.8300
MATGCN	0.1000	0.3100	15.9300

The best two scores are displayed in bold to show the results clearly.