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有关误差评价指标的问题 #12

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269448 opened this issue May 29, 2024 · 0 comments

269448 commented May 29, 2024

我在阅读代码的时候，发现在数据输入之前有一次scale,而输出的时候并没有反标准化，这使得mae和mse都非常小，我又去计算了mape,误差很大，原论文中并没有提到mape,这是否说明模型本身并不好，只是标准化这一操作使mae这一类非百分比误差看起来很小而已，期待您的回复和解答

testing : loss_flag2_lr0.0001_dm512_test_Informer_ETTh1_ftM_sl96_pl96_p16s8_random2021_0<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<
test 2785
mse:0.9188075661659241, mae:0.6943271160125732, rse:0.9127813577651978, mape:6.049351692199707
以上是结果之一，PatchMixer的结果mape在10左右

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