cleodora-forecasting / cleodora-forecasting/cleodora
[Idea] Calibration graphs
Open
- Dominant language
- Go
- Stars
- 24
- Forks
- 1
- PR merge metrics
- No merged PRs in 30d
Description
e.g. display how often outcomes that were predicted as 80% actually resolved as correct. With perfect calibration it would be 80%.
Ideally it should be possible to dynamically choose which probability intervals to use and limit to specific categories.
Contributor guide
Research direction
No files, tests, or entry points are named in the issue. Start by locating the existing forecast visualization and the data paths for outcomes, probability intervals, and categories. Done means a calibration graph compares predicted probabilities with observed correctness and supports selecting intervals and limiting results to categories.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- go, react, typescript
- Domain
- analytics, data-visualization
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 25/100