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I hope this message finds you well. I am currently working on replicating the training process described in the paper and have set up the environment accordingly. However, I noticed a significant performance discrepancy when training on the Netsim dataset.
Specifically, the paper reports an AUROC of 0.688 ± 0.051 for the Netsim dataset, whereas my own training results yielded an AUROC of 0.5347511574, which is notably lower.
Could you kindly clarify:
If there were any updates or modifications to the implementation that could explain this performance difference?
Whether there are specific hyperparameter settings optimized for the Netsim dataset that I might need to adjust in my setup?
I would greatly appreciate any guidance or insights you could provide on this matter. Thank you for your time and support.
The text was updated successfully, but these errors were encountered:
I hope this message finds you well. I am currently working on replicating the training process described in the paper and have set up the environment accordingly. However, I noticed a significant performance discrepancy when training on the Netsim dataset.
Specifically, the paper reports an AUROC of 0.688 ± 0.051 for the Netsim dataset, whereas my own training results yielded an AUROC of 0.5347511574, which is notably lower.
Could you kindly clarify:
I would greatly appreciate any guidance or insights you could provide on this matter. Thank you for your time and support.
The text was updated successfully, but these errors were encountered: