PriceForecast/yuanyoudataset/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	1.791	1.338	1.067
3	TiDE	1.839	1.356	1.07
4	GRU	1.874	1.369	1.046
5	TSMixer	1.88	1.371	1.071
6	PatchTST	2.091	1.446	1.13
7	TSMixerx	2.31	1.52	1.174
8	BiTCN	2.328	1.526	1.202
9	DLinear	2.359	1.536	1.188
10	TFT	2.61	1.615	1.261
11	LSTM	2.665	1.632	1.221
12	NHITS	2.781	1.668	1.331
13	MLP	2.868	1.693	1.322
14	DeepNPTS	3.198	1.788	1.362
15	Informer	3.963	1.991	1.577
16	TCN	6.503	2.55	2.153
17	MLPMultivariate	9.38	3.063	2.334
18	iTransformer	13.345	3.653	3.049
19	StemGNN	15.866	3.983	3.346
20	DilatedRNN	16.146	4.018	3.728
21	RNN	537.684	23.188	22.573