Graph attribute importance scores along with top 5
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- Dominant language
- Jupyter Notebook
- Stars
- 19
- Forks
- 6
- PR merge metrics
- No merged PRs in 30d
Description
In the Jupyter notebook, we currently display the 5 attributes that have the highest importance scores in a table, like below. Let's have a graph with all the attributes and their scores.
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 Jupyter notebook section that displays the top five attribute importance scores and inspect how those scores are produced. Run the notebook to reproduce the current table, then verify that the completed work shows a graph containing all attributes and their scores alongside the existing top-five display.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- jupyter-notebook, scikit-learn
- Domain
- data-visualization, machine-learning
- Issue type
- Feature
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 45/100