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	3291.08	57.368	42.942
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	4426.452	66.532	51.306
18	TCN	6855.79	82.8	68.446
19	iTransformer	11338.897	106.484	86.463
20	StemGNN	12423.222	111.46	91.022
21	MLPMultivariate	12947.138	113.785	84.447