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Hello, thanks for the great work.
I want to talk about the main evaluation indices of the 'best model', and I noticed that ‘F1-score with regard to the change category’ is used as the main evaluation indices in your article,
Then I found 'mF1' which is the mean F1-score with regard to the change category and unchange category was used for updating for the bset model.
So I want to talk about whe
Therefore, I would like to ask which indicator mF1 or F1_1( F1-score with regard to the change category) is more suitable as the basis for the output of the bset model.
Thanks again and look forward to your reply.
The text was updated successfully, but these errors were encountered:
Hello, thanks for the great work.
I want to talk about the main evaluation indices of the 'best model', and I noticed that ‘F1-score with regard to the change category’ is used as the main evaluation indices in your article,
Then I found 'mF1' which is the mean F1-score with regard to the change category and unchange category was used for updating for the bset model.
So I want to talk about whe
Therefore, I would like to ask which indicator mF1 or F1_1( F1-score with regard to the change category) is more suitable as the basis for the output of the bset model.
Thanks again and look forward to your reply.
The text was updated successfully, but these errors were encountered: