INRIA/scikit-learn-mooc

Sprinkle the MOOC with comments on what the evaluation means

Open

#530 opened on Jan 11, 2022

View on GitHubContributor guide
 (2 comments) (0 reactions) (0 assignees)Jupyter Notebook (600 forks)auto 404
good first issue

Repository metrics

Stars
 (1,376 stars)
PR merge metrics
 (PR metrics pending)

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
Identify sections in the MOOC that discuss model evaluation and add short comments explaining the practical meaning of the evaluation metrics and methods.
Tech stack
python
Domain
documentation
Issue type
Documentation
DifficultyEstimated implementation difficulty for a new contributor, from 1 for very small changes to 5 for expert-level work.
1
Estimated timeA rough time range for an experienced contributor to investigate, implement, test, and prepare a pull request.
1-3 hours
Activity statusHow available the issue appears right now: fresh, active, stale, blocked, or waiting on maintainer input.
Active
ClarityHow clearly the issue explains the expected change, acceptance criteria, and next step.
Clear
Prerequisites
Pythonscikit learn
Newbie friendlinessA 1-100 score estimating how approachable this issue is for first-time contributors.
85