openml / openml/OpenML

Subgroup discovery measures shown for supervised classification tasks

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Dominant language
PHP
Stars
755
Forks
128
PR merge metrics
No merged PRs in 30d

Description

Would it be possible to only show relevant evaluation metrics (or only metrics that are actually computed) on a task page? E.g. for supervised classification tasks, subgroup discovery measures such as binomial_test, chi-square, and cortana_quality are shown, even though these are never computed. This clutters the metric dropdown menu.

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Research direction

Start at the task page's metric dropdown and trace how evaluation metrics are selected for supervised classification tasks. Check how subgroup discovery measures such as binomial_test, chi-square, and cortana_quality are included; done means the dropdown shows only relevant or actually computed metrics.

Written by the indexing model from the issue text.

Assessment

Tech stack
php
Domain
frontend, machine-learning
Issue type
Bug
Difficulty
3/5
Estimated time
1-2 days
Activity status
Stale
Clarity
Mostly clear
Newbie friendliness
42/100

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