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 vandalism, measure the development of articles , and supports student editors. 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 WikiProject assessment scale. Any disagreements we have can be worked out on the talk page. Thanks for your help! --EpochFail (talk &bull; contribs) 21:42, 6 April 2017 (UTC)

Worksets
The 90 item dataset is broken down roughly alphabetically to make it easier to edit a single section while someone else is editing the page without getting into an edit conflict. Add you assessment to the rightmost column.