Unbalanced data
Open
general
question
review
- Dominant language
- Python
- Stars
- 4
- Forks
- 3
- PR merge metrics
- No merged PRs in 30d
Description
Review and reasearch how we should handle unbalanced data
Contributor guide
No contributing guide indexed for this repository
Research direction
The issue names no files, tests, or entry points. Start by reviewing the AutoDL Competition Scripts 2019 repository to identify where input data and evaluation are handled, then determine and document the intended approach for unbalanced data. Done means the handling strategy is agreed and its affected implementation work is clearly scoped.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- data, machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 20/100