diego added a comment.
**Updates**
- I've been working on classifier to predict reverts.
- The current classifier uses article (item), revision and user information.
- On a balance test set, the actual model gets results over 70% of accuracy
- However, there is a set of caveats to be considered:
- 'auto-reverts': users can revert themselves, this shouldn't be consider
as signal of controversy. We need to analyze more this behavior.
- power-users: we need to take in account that a small set of users
produces most of the edits and reverts, this behavior could affect our results.
We are working on different sampling method to address this issue.
- The meta page was updated with the results in Q1 and partial results in Q2.
TASK DETAIL
https://phabricator.wikimedia.org/T287946
EMAIL PREFERENCES
https://phabricator.wikimedia.org/settings/panel/emailpreferences/
To: diego
Cc: Pablo, leila, Lydia_Pintscher, diego, Aklapper, Invadibot, maantietaja,
Akuckartz, Nandana, Abdeaitali, Lahi, Gq86, GoranSMilovanovic, QZanden,
LawExplorer, Avner, _jensen, rosalieper, Scott_WUaS, Wikidata-bugs, aude,
Capt_Swing, Mbch331
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