Add G-mean as an evaluation metric
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- Dominant language
- PHP
- Stars
- 755
- Forks
- 128
- PR merge metrics
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Description
Add the geometric mean (g_mean) of precision and recall as an evaluation metric for classification.
Geometric Mean
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
Start by locating the classification evaluation metrics entry point in the OpenML repository and review the linked geometric mean reference. Determine how existing precision and recall metrics are registered and tested. Done means g_mean is available as a classification metric and its geometric-mean behavior is covered by tests.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- php
- Domain
- machine-learning
- Issue type
- Feature
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 45/100