Re: [Wikitech-l] [AI] Deployment of ORES review tool in Englis Wikipedia as a beta feature

I also want to add that you can change ores sensitivity in your preferences and add "We deliberately set the default threshold so low to capture all vandalism cases so false positives are expected unlike anti-vandalism bot that set the threshold so high to capture only vandalism cases (and don't

Re: [Wikitech-l] [AI] Deployment of ORES review tool in Englis Wikipedia as a beta feature

Thanks Luis! :) And I just finished setting up a new labeling campaign for English Wikipedia. This data will help us train/test more accurate models. See https://en.wikipedia.org/wiki/Wikipedia:Labels/Edit_quality for instructions on how to get started. -Aaron On Tue, Aug 23, 2016 at 4:05

Re: [Wikitech-l] [AI] Deployment of ORES review tool in Englis Wikipedia as a beta feature

Thanks for the detailed explanation, Aaron. As always your work is a model in transparency for the rest of us :) On Tue, Aug 23, 2016 at 12:40 PM Aaron Halfaker wrote: > Hi Luis! Thanks for taking a look. > > First, I should say that false-positives should be

Re: [Wikitech-l] [AI] Deployment of ORES review tool in Englis Wikipedia as a beta feature

Hi Luis! Thanks for taking a look. First, I should say that false-positives should be expected. We're working on better signaling in the UI so that you can differentiate the edits that ORES is confident about and those that it isn't confident about -- but are still worth your review. So, in

Re: [Wikitech-l] [AI] Deployment of ORES review tool in Englis Wikipedia as a beta feature

Very cool! Is there any way for users of this tool to help train it? For example, the first four things it flagged in my watchlist were all false positives (next 5-6 were correctly flagged.) It'd be nice to be able to contribute to training the model somehow when we see these false-positives. On