scikit-learn / scikit-learn/scikit-learn.github.io
Under and Overfitting example picture does not match code results
Nobody has claimed this yet.
- Dominant language
- HTML
- Stars
- 3
- Forks
- 4
- PR merge metrics
- No merged PRs in 30d
Description
In article Underfitting vs. Overfitting, the current picture is different from version 1.8, and does not match the picture generated when the corresponding notebook is run.
The current picture does not convey the proper idea about overfitting, making it an attractive option.
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 with the linked Underfitting vs. Overfitting article and its corresponding notebook. Compare the current picture with the version 1.8 image and the image generated by running the notebook, then update the article asset so it matches the code results and clearly conveys why overfitting is undesirable. Verify the rendered article afterward.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- html, jupyter-notebook
- Domain
- documentation, machine-learning
- Issue type
- Bug
- Difficulty
- 2/5
- Estimated time
- 1-3 hours
- Activity status
- Quiet
- Clarity
- Mostly clear
- Newbie friendliness
- 62/100