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I had tried running FreTS model on ETTm1 and ETTh1 datasets with both univariate and multivariate forecasting tasks. The following results are even better than the results mentioned in your article. How is that possible?
---Hyperparameters---
Used MS or S for features
Used freq as detailed like 1min rathen than t as minutely
Used other settings as default given by you
---GPU--
RTX 3060 6GB
Univariate ETTh1 Test Results
mse:0.002602622378617525, mae:0.03822975605726242, rmse:0.05101590231060982
Multivariate ETTh1 Test Results
mse:0.002601700136438012, mae:0.038223933428525925, rmse:0.05100686475634575
Univariate ETTm1 Test Results
mse:0.0011898829834535718, mae:0.025772279128432274, rmse:0.03449467942118645
Multivariate ETTm1 Test Results
mse:0.0012134966673329473, mae:0.026144789531826973, rmse:0.03483527898788452
The text was updated successfully, but these errors were encountered:
I had tried running FreTS model on ETTm1 and ETTh1 datasets with both univariate and multivariate forecasting tasks. The following results are even better than the results mentioned in your article. How is that possible?
---Hyperparameters---
Used MS or S for features
Used freq as detailed like 1min rathen than t as minutely
Used other settings as default given by you
---GPU--
RTX 3060 6GB
Univariate ETTh1 Test Results
mse:0.002602622378617525, mae:0.03822975605726242, rmse:0.05101590231060982
Multivariate ETTh1 Test Results
mse:0.002601700136438012, mae:0.038223933428525925, rmse:0.05100686475634575
Univariate ETTm1 Test Results
mse:0.0011898829834535718, mae:0.025772279128432274, rmse:0.03449467942118645
Multivariate ETTm1 Test Results
mse:0.0012134966673329473, mae:0.026144789531826973, rmse:0.03483527898788452
The text was updated successfully, but these errors were encountered: