Add balanced accuracy metric
Open
Nobody has claimed this yet.
enhancement
module: metrics
- Dominant language
- Python
- Stars
- 4.8k
- Forks
- 726
- Avg merge
- 5d 21h
- Merged PRs (30d)
- 5
Description
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
No repository file or test is named in the issue. Start by reading the linked scikit-learn balanced accuracy documentation and locating the existing metric entry points in Ignite; implement the metric consistently with those patterns and verify that its results match the linked reference behavior.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python, pytorch
- Domain
- machine-learning
- Issue type
- Feature
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Activity status
- Quiet
- Clarity
- Needs clarification
- Newbie friendliness
- 48/100