Editing Human Centered Data Science (Fall 2019)/Assignments
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''A repository with a template README file and examples of querying the ORES datastore in R and Python can be found [https://github.com/Ironholds/data-512-a2 here]'' | ''A repository with a template README file and examples of querying the ORES datastore in R and Python can be found [https://github.com/Ironholds/data-512-a2 here]'' | ||
Now you need to get the predicted quality scores for each article in the Wikipedia dataset. | Now you need to get the predicted quality scores for each article in the Wikipedia dataset. For this step, we're using a Wikimedia API endpoint for a machine learning system called [https://www.mediawiki.org/wiki/ORES ORES] ("Objective Revision Evaluation Service"). ORES estimates the quality of an article (at a particular point in time), and assigns a series of probabilities that the article is in one of 6 quality categories. The options are, from best to worst: | ||
# FA - Featured article | # FA - Featured article |