multiclass auc
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low priority
measures
- Dominant language
- Julia
- Stars
- 163
- Forks
- 46
- Avg merge
- 1d 18h
- Merged PRs (30d)
- 5
Description
when the base ConfMat metrics are in and tested, in some future could add multiclass AUC
see https://www.rdocumentation.org/packages/pROC/versions/1.15.3/topics/multiclass.roc for references
Contributor guide
No contributing guide indexed for this repository
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
Start by reviewing the base ConfMat metrics and their tests to understand the existing metric conventions. Read the linked pROC multiclass.roc reference and determine the intended multiclass AUC scope and behavior. Done should mean a decided design, implementation, and tests for multiclass AUC.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- julia
- Domain
- machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100