{"action":"opened","issue":{"url":"https://api.github.com/repos/roomylee/kaggle-sf/issues/4","repository_url":"https://api.github.com/repos/roomylee/kaggle-sf","labels_url":"https://api.github.com/repos/roomylee/kaggle-sf/issues/4/labels{/name}","comments_url":"https://api.github.com/repos/roomylee/kaggle-sf/issues/4/comments","events_url":"https://api.github.com/repos/roomylee/kaggle-sf/issues/4/events","html_url":"https://github.com/roomylee/kaggle-sf/issues/4","id":171384393,"number":4,"title":"Address Data를 Crossroad로 형식을 맞추기.","user":{"login":"shaynekang","id":528040,"avatar_url":"https://avatars.githubusercontent.com/u/528040?v=3","gravatar_id":"","url":"https://api.github.com/users/shaynekang","html_url":"https://github.com/shaynekang","followers_url":"https://api.github.com/users/shaynekang/followers","following_url":"https://api.github.com/users/shaynekang/following{/other_user}","gists_url":"https://api.github.com/users/shaynekang/gists{/gist_id}","starred_url":"https://api.github.com/users/shaynekang/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/shaynekang/subscriptions","organizations_url":"https://api.github.com/users/shaynekang/orgs","repos_url":"https://api.github.com/users/shaynekang/repos","events_url":"https://api.github.com/users/shaynekang/events{/privacy}","received_events_url":"https://api.github.com/users/shaynekang/received_events","type":"User","site_admin":false},"labels":[],"state":"open","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":0,"created_at":"2016-08-16T11:21:27Z","updated_at":"2016-08-16T11:21:27Z","closed_at":null,"body":"모든 Address Data를 Crossroad 형식으로 맞추고(ex: OAK ST / LAGUNA ST) 테스트해봅니다.\r\n\r\nAddress 데이터가 너무 많으므로 Feature Selection을 시도합니다. Feature Selection은 다음의 방법이 있습니다.\r\n\r\n  * SelectKBest\r\n  * XGBClassifer를 이용하여 feature selection"}}
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