PriceForecast/yongandataset/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	BiTCN	1.824	1.35	1.036
3	TSMixer	1.947	1.395	1.097
4	TiDE	2.017	1.42	1.098
5	MLPMultivariate	2.049	1.432	1.056
6	NHITS	2.087	1.445	1.113
7	NLinear	2.157	1.469	1.105
8	PatchTST	2.267	1.506	1.123
9	DilatedRNN	2.329	1.526	1.16
10	DLinear	2.361	1.537	1.125
11	GRU	2.372	1.54	1.167
12	TSMixerx	2.381	1.543	1.185
13	MLP	2.409	1.552	1.203
14	TFT	2.449	1.565	1.162
15	DeepNPTS	2.456	1.567	1.22
16	iTransformer	2.498	1.581	1.2
17	FEDformer	2.516	1.586	1.222
18	Informer	2.541	1.594	1.165
19	RNN	3.071	1.753	1.298
20	StemGNN	3.297	1.816	1.486
21	LSTM	3.573	1.89	1.601
22	TCN	8.293	2.88	2.592