{"action":"closed","issue":{"url":"https://api.github.com/repos/damellis/ESP/issues/266","repository_url":"https://api.github.com/repos/damellis/ESP","labels_url":"https://api.github.com/repos/damellis/ESP/issues/266/labels{/name}","comments_url":"https://api.github.com/repos/damellis/ESP/issues/266/comments","events_url":"https://api.github.com/repos/damellis/ESP/issues/266/events","html_url":"https://github.com/damellis/ESP/issues/266","id":165202985,"number":266,"title":"Leave one-out scoring of training data.","user":{"login":"damellis","id":405058,"avatar_url":"https://avatars.githubusercontent.com/u/405058?v=3","gravatar_id":"","url":"https://api.github.com/users/damellis","html_url":"https://github.com/damellis","followers_url":"https://api.github.com/users/damellis/followers","following_url":"https://api.github.com/users/damellis/following{/other_user}","gists_url":"https://api.github.com/users/damellis/gists{/gist_id}","starred_url":"https://api.github.com/users/damellis/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/damellis/subscriptions","organizations_url":"https://api.github.com/users/damellis/orgs","repos_url":"https://api.github.com/users/damellis/repos","events_url":"https://api.github.com/users/damellis/events{/privacy}","received_events_url":"https://api.github.com/users/damellis/received_events","type":"User","site_admin":false},"labels":[{"url":"https://api.github.com/repos/damellis/ESP/labels/component-training%20data","name":"component-training data","color":"ffffff"},{"url":"https://api.github.com/repos/damellis/ESP/labels/core","name":"core","color":"1d76db"}],"state":"closed","locked":false,"assignee":{"login":"damellis","id":405058,"avatar_url":"https://avatars.githubusercontent.com/u/405058?v=3","gravatar_id":"","url":"https://api.github.com/users/damellis","html_url":"https://github.com/damellis","followers_url":"https://api.github.com/users/damellis/followers","following_url":"https://api.github.com/users/damellis/following{/other_user}","gists_url":"https://api.github.com/users/damellis/gists{/gist_id}","starred_url":"https://api.github.com/users/damellis/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/damellis/subscriptions","organizations_url":"https://api.github.com/users/damellis/orgs","repos_url":"https://api.github.com/users/damellis/repos","events_url":"https://api.github.com/users/damellis/events{/privacy}","received_events_url":"https://api.github.com/users/damellis/received_events","type":"User","site_admin":false},"assignees":[{"login":"damellis","id":405058,"avatar_url":"https://avatars.githubusercontent.com/u/405058?v=3","gravatar_id":"","url":"https://api.github.com/users/damellis","html_url":"https://github.com/damellis","followers_url":"https://api.github.com/users/damellis/followers","following_url":"https://api.github.com/users/damellis/following{/other_user}","gists_url":"https://api.github.com/users/damellis/gists{/gist_id}","starred_url":"https://api.github.com/users/damellis/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/damellis/subscriptions","organizations_url":"https://api.github.com/users/damellis/orgs","repos_url":"https://api.github.com/users/damellis/repos","events_url":"https://api.github.com/users/damellis/events{/privacy}","received_events_url":"https://api.github.com/users/damellis/received_events","type":"User","site_admin":false}],"milestone":{"url":"https://api.github.com/repos/damellis/ESP/milestones/8","html_url":"https://github.com/damellis/ESP/milestones/Speaker%20+%20Touch%C3%A9%20+%20Training%20Scores","labels_url":"https://api.github.com/repos/damellis/ESP/milestones/8/labels","id":1803415,"number":8,"title":"Speaker + Touché + Training Scores","description":"In this milestone, we should create two functional examples:\r\n1. Speaker Identification\r\n2. Touché\r\n\r\nBesides, we should incorporate the feedback we received. These are mainly bug fixing; could potentially involve refactoring.","creator":{"login":"damellis","id":405058,"avatar_url":"https://avatars.githubusercontent.com/u/405058?v=3","gravatar_id":"","url":"https://api.github.com/users/damellis","html_url":"https://github.com/damellis","followers_url":"https://api.github.com/users/damellis/followers","following_url":"https://api.github.com/users/damellis/following{/other_user}","gists_url":"https://api.github.com/users/damellis/gists{/gist_id}","starred_url":"https://api.github.com/users/damellis/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/damellis/subscriptions","organizations_url":"https://api.github.com/users/damellis/orgs","repos_url":"https://api.github.com/users/damellis/repos","events_url":"https://api.github.com/users/damellis/events{/privacy}","received_events_url":"https://api.github.com/users/damellis/received_events","type":"User","site_admin":false},"open_issues":6,"closed_issues":13,"state":"open","created_at":"2016-06-01T22:15:13Z","updated_at":"2016-07-13T00:06:43Z","due_on":"2016-07-17T07:00:00Z","closed_at":null},"comments":0,"created_at":"2016-07-12T23:17:19Z","updated_at":"2016-07-13T00:06:43Z","closed_at":"2016-07-13T00:06:43Z","body":"It's probably worth trying leave-one-out scoring of training data. It will only be appropriate in cases where training is fast, but could be much more useful in those cases.\r\n\r\nFor instance, w/ an ANBC classifier, one widely out of whack sample could completely distort the distribution for its class. But scoring that sample with itself included in the training data is likely to score that sample as belonging to the class. Scoring the sample without including it would likely score it very low."}}
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