{"action":"opened","issue":{"url":"https://api.github.com/repos/UC-MACSS/persp-research_Spr18/issues/39","repository_url":"https://api.github.com/repos/UC-MACSS/persp-research_Spr18","labels_url":"https://api.github.com/repos/UC-MACSS/persp-research_Spr18/issues/39/labels{/name}","comments_url":"https://api.github.com/repos/UC-MACSS/persp-research_Spr18/issues/39/comments","events_url":"https://api.github.com/repos/UC-MACSS/persp-research_Spr18/issues/39/events","html_url":"https://github.com/UC-MACSS/persp-research_Spr18/issues/39","id":323101800,"number":39,"title":"MSE or MAE","user":{"login":"khan1792","id":32287766,"avatar_url":"https://avatars2.githubusercontent.com/u/32287766?v=4","gravatar_id":"","url":"https://api.github.com/users/khan1792","html_url":"https://github.com/khan1792","followers_url":"https://api.github.com/users/khan1792/followers","following_url":"https://api.github.com/users/khan1792/following{/other_user}","gists_url":"https://api.github.com/users/khan1792/gists{/gist_id}","starred_url":"https://api.github.com/users/khan1792/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/khan1792/subscriptions","organizations_url":"https://api.github.com/users/khan1792/orgs","repos_url":"https://api.github.com/users/khan1792/repos","events_url":"https://api.github.com/users/khan1792/events{/privacy}","received_events_url":"https://api.github.com/users/khan1792/received_events","type":"User","site_admin":false},"labels":[],"state":"open","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":0,"created_at":"2018-05-15T07:43:27Z","updated_at":"2018-05-15T07:43:27Z","closed_at":null,"author_association":"NONE","body":"The second part asks us to report the test mean square errors of models. But the example of the Boston housing data in the textbook and the slide use mean absolute errors for evaluation. I'm wondering which we should use in the problem set."}}
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