{"action":"created","issue":{"url":"https://api.github.com/repos/szilard/benchm-ml/issues/2","labels_url":"https://api.github.com/repos/szilard/benchm-ml/issues/2/labels{/name}","comments_url":"https://api.github.com/repos/szilard/benchm-ml/issues/2/comments","events_url":"https://api.github.com/repos/szilard/benchm-ml/issues/2/events","html_url":"https://github.com/szilard/benchm-ml/issues/2","id":71426104,"number":2,"title":"add xgboost to benchmark","user":{"login":"tqchen","id":2577440,"avatar_url":"https://avatars.githubusercontent.com/u/2577440?v=3","gravatar_id":"","url":"https://api.github.com/users/tqchen","html_url":"https://github.com/tqchen","followers_url":"https://api.github.com/users/tqchen/followers","following_url":"https://api.github.com/users/tqchen/following{/other_user}","gists_url":"https://api.github.com/users/tqchen/gists{/gist_id}","starred_url":"https://api.github.com/users/tqchen/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/tqchen/subscriptions","organizations_url":"https://api.github.com/users/tqchen/orgs","repos_url":"https://api.github.com/users/tqchen/repos","events_url":"https://api.github.com/users/tqchen/events{/privacy}","received_events_url":"https://api.github.com/users/tqchen/received_events","type":"User","site_admin":false},"labels":[],"state":"open","locked":false,"assignee":null,"milestone":null,"comments":8,"created_at":"2015-04-27T23:09:08Z","updated_at":"2015-05-14T17:57:37Z","closed_at":null,"body":"Just discovered this repo. Since you are comparing gradient boosting algorithms, would be great if you could add https://github.com/dmlc/xgboost to comparison.\r\n\r\nIt also have a support for random forest.\r\n\r\nThanks"},"comment":{"url":"https://api.github.com/repos/szilard/benchm-ml/issues/comments/102118309","html_url":"https://github.com/szilard/benchm-ml/issues/2#issuecomment-102118309","issue_url":"https://api.github.com/repos/szilard/benchm-ml/issues/2","id":102118309,"user":{"login":"tqchen","id":2577440,"avatar_url":"https://avatars.githubusercontent.com/u/2577440?v=3","gravatar_id":"","url":"https://api.github.com/users/tqchen","html_url":"https://github.com/tqchen","followers_url":"https://api.github.com/users/tqchen/followers","following_url":"https://api.github.com/users/tqchen/following{/other_user}","gists_url":"https://api.github.com/users/tqchen/gists{/gist_id}","starred_url":"https://api.github.com/users/tqchen/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/tqchen/subscriptions","organizations_url":"https://api.github.com/users/tqchen/orgs","repos_url":"https://api.github.com/users/tqchen/repos","events_url":"https://api.github.com/users/tqchen/events{/privacy}","received_events_url":"https://api.github.com/users/tqchen/received_events","type":"User","site_admin":false},"created_at":"2015-05-14T17:57:37Z","updated_at":"2015-05-14T17:57:37Z","body":"Thanks for running this. The min_child_weight do have an implicit impact on the running time, but seems not as much as I expected.  I am less worried about the AUC drop, since it could due to random effect introduced in RF.  "}}