PriceForecast/juxitingdataset/model_evaluation.csv

1	模型(Model)	平均平方误差(MSE)	均方根误差(RMSE)	平均绝对误差(MAE)
2	NLinear	845.356	29.075	20.267
3	RNN	972.286	31.182	22.988
4	TiDE	1028.451	32.069	23.463
5	TSMixer	1302.964	36.097	25.947
6	PatchTST	1328.982	36.455	25.99
7	NHITS	1562.545	39.529	29.168
8	DilatedRNN	1841.868	42.917	31.132
9	DLinear	1865.095	43.187	30.754
10	GRU	1948.117	44.137	37.899
11	LSTM	3160.178	56.215	46.181
12	Informer	3208.359	56.642	42.457
13	DeepNPTS	3342.861	57.817	42.448
14	MLP	3377.778	58.119	44.678
15	TFT	3480.96	59.0	45.242
16	TSMixerx	4424.076	66.514	50.562
17	BiTCN	4446.318	66.681	51.416
18	TCN	6855.79	82.8	68.446
19	MLPMultivariate	10183.86	100.915	79.735
20	iTransformer	13646.124	116.817	93.078
21	StemGNN	13746.6	117.246	94.793