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I use the generate_RML2016.10a.py to generate the data set, which is the same number as the data set published by the author. And I use the same network to train the two data set, but the test accuracy are different. The accuracy of the data set generated by the code is 4-5 percentage points lower. Why? Are the parameters in the code provided by the author different from those in the public dataset?
The text was updated successfully, but these errors were encountered:
I use the generate_RML2016.10a.py to generate the data set, which is the same number as the data set published by the author. And I use the same network to train the two data set, but the test accuracy are different. The accuracy of the data set generated by the code is 4-5 percentage points lower. Why? Are the parameters in the code provided by the author different from those in the public dataset?
The text was updated successfully, but these errors were encountered: