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	811.576	28.488	19.74
3	RNN	897.124	29.952	22.074
4	TiDE	1015.113	31.861	23.22
5	LSTM	1072.179	32.744	25.674
6	DilatedRNN	1323.952	36.386	28.347
7	PatchTST	1353.449	36.789	26.175
8	TSMixer	1467.982	38.314	28.163
9	NHITS	1589.956	39.874	30.203
10	GRU	1764.144	42.002	35.821
11	DLinear	1831.303	42.794	30.357
12	DeepNPTS	2890.076	53.759	38.553
13	TFT	3040.148	55.138	42.36
14	MLP	3459.517	58.818	45.679
15	Informer	3635.914	60.299	44.59
16	TSMixerx	4352.664	65.975	49.521
17	BiTCN	4825.292	69.464	53.842
18	TCN	6703.221	81.873	65.098
19	iTransformer	12283.86	110.833	78.95
20	MLPMultivariate	12681.278	112.611	82.881
21	StemGNN	12731.685	112.835	91.7