{"action":"opened","issue":{"url":"https://api.github.com/repos/mkcomer237/DAT_SF_16/issues/7","labels_url":"https://api.github.com/repos/mkcomer237/DAT_SF_16/issues/7/labels{/name}","comments_url":"https://api.github.com/repos/mkcomer237/DAT_SF_16/issues/7/comments","events_url":"https://api.github.com/repos/mkcomer237/DAT_SF_16/issues/7/events","html_url":"https://github.com/mkcomer237/DAT_SF_16/issues/7","id":104733314,"number":7,"title":"HW5 notes","user":{"login":"Breucopter","id":3916424,"avatar_url":"https://avatars.githubusercontent.com/u/3916424?v=3","gravatar_id":"","url":"https://api.github.com/users/Breucopter","html_url":"https://github.com/Breucopter","followers_url":"https://api.github.com/users/Breucopter/followers","following_url":"https://api.github.com/users/Breucopter/following{/other_user}","gists_url":"https://api.github.com/users/Breucopter/gists{/gist_id}","starred_url":"https://api.github.com/users/Breucopter/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/Breucopter/subscriptions","organizations_url":"https://api.github.com/users/Breucopter/orgs","repos_url":"https://api.github.com/users/Breucopter/repos","events_url":"https://api.github.com/users/Breucopter/events{/privacy}","received_events_url":"https://api.github.com/users/Breucopter/received_events","type":"User","site_admin":false},"labels":[],"state":"open","locked":false,"assignee":null,"milestone":null,"comments":0,"created_at":"2015-09-03T16:22:10Z","updated_at":"2015-09-03T16:22:10Z","closed_at":null,"body":"Hey Max,\r\n\r\nGreat job with the oversample cross validation. That's an ingenious method for oversampling and working in the same dataframe. I'd challenge you to visualize the feature importances when working with a linear model to gain an understanding of how strongly your features impact your model. More interestingly, how would that compare to a Decision Tree?"}}