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Hello, thanks for your work. Is there anyway to evaluate the model with the Area under the ROC Curve ? I don't know what is the current evaluation (looking through the paper https://arxiv.org/pdf/1909.11855.pdf but didn't find it.
I'd like to evaluate with AUC ROC because I'm currently working with a big dataset with supervised approach, and I found it weird that at each epoch the score remains the same with absolutely no change of the scores for differents epochs.
Is there also any way to run separatly training and testing ? I'm trying to test 3 splitting methods and compare them: Index/Random/Scaffold
Thank you for any kind of help.
The text was updated successfully, but these errors were encountered:
Hello, thanks for your work. Is there anyway to evaluate the model with the Area under the ROC Curve ? I don't know what is the current evaluation (looking through the paper https://arxiv.org/pdf/1909.11855.pdf but didn't find it.
I'd like to evaluate with AUC ROC because I'm currently working with a big dataset with supervised approach, and I found it weird that at each epoch the score remains the same with absolutely no change of the scores for differents epochs.
Is there also any way to run separatly training and testing ? I'm trying to test 3 splitting methods and compare them: Index/Random/Scaffold
Thank you for any kind of help.
The text was updated successfully, but these errors were encountered: