{"action":"opened","issue":{"url":"https://api.github.com/repos/scikit-learn/scikit-learn/issues/5105","labels_url":"https://api.github.com/repos/scikit-learn/scikit-learn/issues/5105/labels{/name}","comments_url":"https://api.github.com/repos/scikit-learn/scikit-learn/issues/5105/comments","events_url":"https://api.github.com/repos/scikit-learn/scikit-learn/issues/5105/events","html_url":"https://github.com/scikit-learn/scikit-learn/issues/5105","id":100164561,"number":5105,"title":"Add a (classical?) binary classification task","user":{"login":"amueller","id":449558,"avatar_url":"https://avatars.githubusercontent.com/u/449558?v=3","gravatar_id":"","url":"https://api.github.com/users/amueller","html_url":"https://github.com/amueller","followers_url":"https://api.github.com/users/amueller/followers","following_url":"https://api.github.com/users/amueller/following{/other_user}","gists_url":"https://api.github.com/users/amueller/gists{/gist_id}","starred_url":"https://api.github.com/users/amueller/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/amueller/subscriptions","organizations_url":"https://api.github.com/users/amueller/orgs","repos_url":"https://api.github.com/users/amueller/repos","events_url":"https://api.github.com/users/amueller/events{/privacy}","received_events_url":"https://api.github.com/users/amueller/received_events","type":"User","site_admin":false},"labels":[],"state":"open","locked":false,"assignee":null,"milestone":null,"comments":0,"created_at":"2015-08-10T20:43:56Z","updated_at":"2015-08-10T20:43:56Z","closed_at":null,"body":"There is not really any real-world binary classification dataset in scikit-learn.\r\nI find this a bit frustrating because it means that every time I want to explain AUC I have to make one of the datasets binary, which seems very unnatural."}}