{"action":"closed","issue":{"url":"https://api.github.com/repos/chengsoonong/mclass-sky/issues/17","labels_url":"https://api.github.com/repos/chengsoonong/mclass-sky/issues/17/labels{/name}","comments_url":"https://api.github.com/repos/chengsoonong/mclass-sky/issues/17/comments","events_url":"https://api.github.com/repos/chengsoonong/mclass-sky/issues/17/events","html_url":"https://github.com/chengsoonong/mclass-sky/issues/17","id":59438554,"number":17,"title":"Learning curves with all data","user":{"login":"justindomke","id":8609030,"avatar_url":"https://avatars.githubusercontent.com/u/8609030?v=3","gravatar_id":"","url":"https://api.github.com/users/justindomke","html_url":"https://github.com/justindomke","followers_url":"https://api.github.com/users/justindomke/followers","following_url":"https://api.github.com/users/justindomke/following{/other_user}","gists_url":"https://api.github.com/users/justindomke/gists{/gist_id}","starred_url":"https://api.github.com/users/justindomke/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/justindomke/subscriptions","organizations_url":"https://api.github.com/users/justindomke/orgs","repos_url":"https://api.github.com/users/justindomke/repos","events_url":"https://api.github.com/users/justindomke/events{/privacy}","received_events_url":"https://api.github.com/users/justindomke/received_events","type":"User","site_admin":false},"labels":[],"state":"closed","locked":false,"assignee":null,"milestone":null,"comments":0,"created_at":"2015-03-02T04:52:51Z","updated_at":"2015-03-18T03:31:56Z","closed_at":"2015-03-18T03:31:56Z","body":"With classifiers that can do so efficiently, try training with varying numbers of data up to the full dataset of ~2.8 million points.  The SVM with a RBF kernel continues to slowly improve at an approximate linear rate up to 100,000 points, which suggests that using more data could push us significantly closer to 100% accuracy."}}