Wikipedia:Labels/Edit quality

We'll be using WP:Labels to review 6334 randomly sampled edits as "damaging" and/or "good-faith" in order to train classifiers for mw:ORES.

To get started, sign the list below, then navigate to Labels and click the "install the gadget" button. After you've installed the gadget, go back to Labels and select the "Edit quality (20k 2016 sample)" campaign. Post on the talk page if you run into trouble or you want to discuss an edit.

Progress
(get detailed statistics directly from the server)

Why?
Computers are very good at crunching numbers however they are terrible at understanding words and the meaning behind them. However, humans are very good at understanding complex things at a glance. Thus hand coding is a common process by which humans add machine readable information ("labels") to observations. We plan to train machine learning algorithms to predict the quality of edits for use in tools like User:ClueBot NG and WP:Huggle.