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Hi,Mr Pang
I trained model with default arguments by using the backdoor dataset and get the performance as follows
AUC-ROC: 0.7793, AUC-PR: 0.2663
average AUC-ROC: 0.7834, average AUC-PR: 0.2730
I saw a similar question in previous issue and your answer is that perform some standard data prepocessing steps,could you provide specific steps and data process code on github?
The text was updated successfully, but these errors were encountered:
Hi,Mr Pang
I trained model with default arguments by using the backdoor dataset and get the performance as follows
AUC-ROC: 0.7793, AUC-PR: 0.2663
average AUC-ROC: 0.7834, average AUC-PR: 0.2730
I saw a similar question in previous issue and your answer is that perform some standard data prepocessing steps,could you provide specific steps and data process code on github?
The dataset has been released in the repo. Please use the released data. Thanks.
Hi,Mr Pang
I trained model with default arguments by using the backdoor dataset and get the performance as follows
AUC-ROC: 0.7793, AUC-PR: 0.2663
average AUC-ROC: 0.7834, average AUC-PR: 0.2730
I saw a similar question in previous issue and your answer is that perform some standard data prepocessing steps,could you provide specific steps and data process code on github?
The text was updated successfully, but these errors were encountered: