INRIA / INRIA/scikit-learn-mooc
Sprinkle the MOOC with comments on what the evaluation means
Open
good first issue
- Dominant language
- Jupyter Notebook
- Stars
- 1.4k
- Forks
- 600
- Avg merge
- 6d 20h
- Merged PRs (30d)
- 2
Description
As mentioned by @ogrisel : we could add a small sentence in many places in the MOOC where we do model evaluation commenting on what the evaluation means: the choice of evaluation method, the unit, ... going back the real life.
Contributor guide
Research direction
No specific files or notebooks are named. Search the MOOC notebooks for model-evaluation sections, then review how evaluation methods, units, and real-world interpretation are currently explained. Done means the relevant sections consistently include concise context about what their evaluation results mean.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- jupyter-notebook, python, scikit-learn
- Domain
- documentation, machine-learning
- Issue type
- Documentation
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 35/100