Status update (September 22nd, 2016)
September 22nd, 2016
(This post was copied from https://lists.wikimedia.org/pipermail/ai/2016-September/000095.html)
Hey,
This is the 22nd weekly update from revision scoring team that we have sent to this mailing list.
UI work:
- We configured the default threshold for the ORES review tool on Wikidata to be more strict (higher recall, lower precision)[1]
- We fixed a display issue on Special:Contributions where the filters would not wrap[2]
Increasing model fitness:
- We finished demonstrating model fitness gains using hash-vector features[3]. Next, we'll be working to get the hash-vector features implemented in revscoring/ORES[4].
- We implemented a new strategy for training and testing on all data using cross-validation[5]. This will both increase the fitness of the models and make the statistics reported more robust.
Maintenance and robustness
- We fixed an indexing issues in ores_model that prevented the deployment of updated models[6].
- We did a minor investigation to a short period of degraded service quality on WMF Labs[7]
- https://phabricator.wikimedia.org/T144784 -- Change default threshold for Wikidata to high
- https://phabricator.wikimedia.org/T143518 -- Filter on user contribs has nowrap, causing issues
- https://phabricator.wikimedia.org/T128087 -- [Spike] Investigate HashingVectorizer
- https://phabricator.wikimedia.org/T145812 -- Implement ~100 most important hash vector features in editquality models
- https://phabricator.wikimedia.org/T142953 -- Train on all data, Report test statistics on cross-validation
- https://phabricator.wikimedia.org/T144432 -- oresm_model index should not be unique
- https://phabricator.wikimedia.org/T145353 -- Investigate short period of ores-web-03 insanity
Sincerely,
Aaron from the Revision Scoring team
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