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Hello! Per the kind invitation, I'm sharing a PR to add an "AUROC quartet" (scores and targets that produce same AUROC but materially different performance metrics otherwise).
I added the following files:
data-rawgenerate-roctet.py: The initial code is python, so this contains a self-contained virtual env withuvwith run instructions for full reproducibility. This writes an output csvgenerate-roctet.R: This converts the csv to rdadataRauroc_quartet.R: Documents the datasetDESCRIPTION: added to list of contained datasetsREADME.qmd: added example with a few viz.man/auroc_quartet.Rd: Rendered dataset docsA few outstanding questions:
README.qmdlocally to ensure it works, but I did not commit the newREADME.mdsince that blew up the repo with re-cached files and figures. Please let me know if you prefer I push those as well.