{"action":"created","issue":{"url":"https://api.github.com/repos/pavanramkumar/pyglmnet/issues/97","repository_url":"https://api.github.com/repos/pavanramkumar/pyglmnet","labels_url":"https://api.github.com/repos/pavanramkumar/pyglmnet/issues/97/labels{/name}","comments_url":"https://api.github.com/repos/pavanramkumar/pyglmnet/issues/97/comments","events_url":"https://api.github.com/repos/pavanramkumar/pyglmnet/issues/97/events","html_url":"https://github.com/pavanramkumar/pyglmnet/issues/97","id":155692632,"number":97,"title":"implement accuracy or F1","user":{"login":"jasmainak","id":15852194,"avatar_url":"https://avatars.githubusercontent.com/u/15852194?v=3","gravatar_id":"","url":"https://api.github.com/users/jasmainak","html_url":"https://github.com/jasmainak","followers_url":"https://api.github.com/users/jasmainak/followers","following_url":"https://api.github.com/users/jasmainak/following{/other_user}","gists_url":"https://api.github.com/users/jasmainak/gists{/gist_id}","starred_url":"https://api.github.com/users/jasmainak/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/jasmainak/subscriptions","organizations_url":"https://api.github.com/users/jasmainak/orgs","repos_url":"https://api.github.com/users/jasmainak/repos","events_url":"https://api.github.com/users/jasmainak/events{/privacy}","received_events_url":"https://api.github.com/users/jasmainak/received_events","type":"User","site_admin":false},"labels":[{"url":"https://api.github.com/repos/pavanramkumar/pyglmnet/labels/enhancement","name":"enhancement","color":"84b6eb"}],"state":"open","locked":false,"assignee":null,"milestone":{"url":"https://api.github.com/repos/pavanramkumar/pyglmnet/milestones/2","html_url":"https://github.com/pavanramkumar/pyglmnet/milestones/version%200.2","labels_url":"https://api.github.com/repos/pavanramkumar/pyglmnet/milestones/2/labels","id":1760913,"number":2,"title":"version 0.2","description":"","creator":{"login":"pavanramkumar","id":3664715,"avatar_url":"https://avatars.githubusercontent.com/u/3664715?v=3","gravatar_id":"","url":"https://api.github.com/users/pavanramkumar","html_url":"https://github.com/pavanramkumar","followers_url":"https://api.github.com/users/pavanramkumar/followers","following_url":"https://api.github.com/users/pavanramkumar/following{/other_user}","gists_url":"https://api.github.com/users/pavanramkumar/gists{/gist_id}","starred_url":"https://api.github.com/users/pavanramkumar/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/pavanramkumar/subscriptions","organizations_url":"https://api.github.com/users/pavanramkumar/orgs","repos_url":"https://api.github.com/users/pavanramkumar/repos","events_url":"https://api.github.com/users/pavanramkumar/events{/privacy}","received_events_url":"https://api.github.com/users/pavanramkumar/received_events","type":"User","site_admin":false},"open_issues":7,"closed_issues":0,"state":"open","created_at":"2016-05-11T19:28:52Z","updated_at":"2016-05-19T09:31:36Z","due_on":"2016-06-25T05:00:00Z","closed_at":null},"comments":1,"created_at":"2016-05-19T09:31:36Z","updated_at":"2016-05-19T17:31:41Z","closed_at":null,"body":"'multinomial' is typically evaluated using a score like accuracy or F1: deviance and pseudo_R2 are not common.\r\n\r\ncc @pavanramkumar "},"comment":{"url":"https://api.github.com/repos/pavanramkumar/pyglmnet/issues/comments/220396095","html_url":"https://github.com/pavanramkumar/pyglmnet/issues/97#issuecomment-220396095","issue_url":"https://api.github.com/repos/pavanramkumar/pyglmnet/issues/97","id":220396095,"user":{"login":"daniel-acuna","id":842569,"avatar_url":"https://avatars.githubusercontent.com/u/842569?v=3","gravatar_id":"","url":"https://api.github.com/users/daniel-acuna","html_url":"https://github.com/daniel-acuna","followers_url":"https://api.github.com/users/daniel-acuna/followers","following_url":"https://api.github.com/users/daniel-acuna/following{/other_user}","gists_url":"https://api.github.com/users/daniel-acuna/gists{/gist_id}","starred_url":"https://api.github.com/users/daniel-acuna/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/daniel-acuna/subscriptions","organizations_url":"https://api.github.com/users/daniel-acuna/orgs","repos_url":"https://api.github.com/users/daniel-acuna/repos","events_url":"https://api.github.com/users/daniel-acuna/events{/privacy}","received_events_url":"https://api.github.com/users/daniel-acuna/received_events","type":"User","site_admin":false},"created_at":"2016-05-19T17:31:41Z","updated_at":"2016-05-19T17:31:41Z","body":"There is no clear way of measuring the performance of a multiclass classifier. I like log likelihood ratio between a null model and full model but I agree it is not standard."}}