Describe the issue linked to the documentation

In its user guide, scikit-learn offers a Choosing the right estimator which is an interactive scikit-learn algorithm cheat sheet that is great.

When thinking about new features for skore, I thought of enhancing the user guide and have a pedagogical table which, for each estimator, says:

• if it needs to be scaled,
• if it can handle categorical features,
• if it can handle missing data,
• if it holds some randomness (and where / why),
• if it can be paralleled,
• etc (full proper list to be determined).

EDIT:

• The scikit-learn graph / map is great, but not sufficient IMHO because I would like to have, for each estimator, if I need to normalize the data or not, etc -> guidelines for each estimator
• I would like a table that is separate from the map, this is also a cheat sheet but not to appear on the map, maybe at the bottom of the map on the same user guide page

When discussing this with @jeromedockes and @Vincent-Maladiere, they told me about scikit-learn's estimator tags such as is_regressor. It seems that that knowledge is already partially in the tags.

Suggest a potential alternative/fix

• Maybe scikit-learn could have a table in the user guide with guidelines for each estimator?
• Maybe scikit-learn could hold more tags? And the table could be built from those tags?