NVIDIA / NVIDIA/recsys-examples
[DOC] Request for Stable AUC Results on Public Datasets
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- Dominant language
- Python
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- 322
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Description
Description:
Could you please share the stable AUC results for the public datasets after the training has fully converged? It would be really helpful to see the final performance on these datasets to better understand the model's stability.
Expected Behavior:
It would be great if the final AUC results after convergence on public datasets could be made available, as this will give a clearer picture of the model's overall performance.
Thank you for your time and help!
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
The issue names no files, scripts, datasets, or tests. First identify the public datasets and training entry points used by the repository, then determine what “fully converged” means for each run. Done means publishing reproducible final AUC results for the requested public datasets.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python, pytorch
- Domain
- machine-learning
- Issue type
- Documentation
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Quiet
- Clarity
- Mostly clear
- Newbie friendliness
- 40/100