Multivariate Time Series Forecasting Accuracy on PEMS07 (MAE/RMSE/MAPE) benchmark leaderboard · SOTA2 Research

Multivariate Time Series Forecasting Accuracy on PEMS07 (MAE/RMSE/MAPE)

18.31MAE@3STID

Evaluation Results

Method	Links
STID2022.08		18.31	19.59	21.52	19.54	30.39	32.9	36.29	32.85	7.72	8.3	9.15	8.25
GWNet2022.08		18.69	20.26	22.79	20.25	30.69	33.37	37.11	33.32	8.02	8.56	9.73	8.63
STNorm2022.08		19.15	20.63	22.6	20.52	31.7	35.1	38.65	34.85	8.26	8.84	9.6	8.77
MTGNN2022.08		19.23	20.83	23.6	20.94	31.15	33.93	38.1	34.03	8.55	9.3	10.1	9.1
GMAN2022.08		19.25	20.33	22.25	20.43	31.2	33.3	36.4	33.3	8.21	8.63	9.48	8.69
AGCRN2022.08		19.31	20.7	22.74	20.64	31.68	34.52	37.94	34.39	8.18	8.66	9.71	8.74
DCRNN2022.08		19.45	21.18	24.14	21.2	31.39	34.42	38.84	34.43	8.29	9.01	10.42	9.06
StemGNN2022.08		19.74	22.07	26.2	22.23	32.32	36.16	42.32	36.46	8.27	9.2	11	9.2
STGCN2022.08		20.33	21.66	24.16	21.71	32.73	35.35	39.48	35.41	8.68	9.16	10.26	9.25
LSTM2022.08		20.42	23.18	28.73	23.54	33.21	37.54	45.63	38.2	8.79	9.8	12.23	9.96
VAR2022.08		32.02	35.18	38.37	37.06	48.83	52.91	56.82	55.73	18.3	20.54	22.04	19.93
HI2022.08		49.02	49.03	49.06	49.04	71.16	71.18	71.2	71.18	22.73	22.75	22.79	22.75