INRIA / INRIA/scikit-learn-mooc

Sprinkle the MOOC with comments on what the evaluation means

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#530 2 comments 0 reactions 0 assignees View on GitHub
good first issue
Dominant language
Jupyter Notebook
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Forks
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Avg merge
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Merged PRs (30d)
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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

Open the contributing 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

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