User:EpochFail/ORES audit

This page is a workspace intended to be used to help audit the "wp10" article quality prediction model used by :m:ORES. ORES is a generalized machine prediction service that helps catch vandalismhttps://blog.wikimedia.org/2015/11/30/artificial-intelligence-x-ray-specs/, measure the development of articleshttps://blog.wikimedia.org/2017/03/07/the-keilana-effect/, and supports student editorshttps://wikiedu.org/blog/2016/09/16/visualizing-article-history-with-structural-completeness/. Recently, I (EpochFail) have been collaborating with some researchers who are publishing a dataset of externally reviewed articles (the sample was taken back in 2006). I'd like to take the opportunity to compare the prediction quality ORES article quality model with these external reviewers, but in order get a good picture of the situation, it would also be very helpful to get a high quality set of article assessments for the same dataset. So, I have gathered all of the versions of externally reviewed articles below and I'm asking for your help. Please feel free to boldly apply your own assessments from the Wikipedia:WikiProject assessment scale. Any disagreements we have can be worked out on the talk page. Thanks for your help! --EpochFail (talk • contribs) 21:42, 6 April 2017 (UTC)

{{notice|Please apply today's criteria from the Wikipedia:WikiProject assessment scale to these old articles. The scale and the criteria have changed substantially since 2006/2007. That's OK. Thanks again for your help! --EpochFail (talk • contribs) 16:00, 17 April 2017 (UTC)}}