Project-MONAI / Project-MONAI/MONAI
Implementation of the positive likelihood ratio (LR+)
Open
Nobody has claimed this yet.
Feature request
Module: metrics
WG: Evaluation
- Dominant language
- Python
- Stars
- 8.7k
- Forks
- 1.6k
- Avg merge
- 5d 1h
- Merged PRs (30d)
- 20
Description
Is your feature request related to a problem? Please describe.
The positive likelihood ratio is a relevant counting metric to add (used for evaluation of whole image classification for instance)
Describe the solution you'd like
The LR+ is defined as
$LR+ = \dfrac{Sensitivity}{1-Specificity}$
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 files or tests are named in the issue. Start by locating the existing classification metrics and their tests, then compare their interfaces with the stated LR+ formula; done means the metric is available alongside the existing metrics and its sensitivity/specificity cases are covered by tests.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- machine-learning
- Issue type
- Feature
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 45/100