{"action":"created","issue":{"url":"https://api.github.com/repos/Glavin001/Wearables-Research/issues/13","repository_url":"https://api.github.com/repos/Glavin001/Wearables-Research","labels_url":"https://api.github.com/repos/Glavin001/Wearables-Research/issues/13/labels{/name}","comments_url":"https://api.github.com/repos/Glavin001/Wearables-Research/issues/13/comments","events_url":"https://api.github.com/repos/Glavin001/Wearables-Research/issues/13/events","html_url":"https://github.com/Glavin001/Wearables-Research/issues/13","id":121862160,"number":13,"title":"Clean up ICCICC2016 paper","user":{"login":"Glavin001","id":1885333,"avatar_url":"https://avatars.githubusercontent.com/u/1885333?v=3","gravatar_id":"","url":"https://api.github.com/users/Glavin001","html_url":"https://github.com/Glavin001","followers_url":"https://api.github.com/users/Glavin001/followers","following_url":"https://api.github.com/users/Glavin001/following{/other_user}","gists_url":"https://api.github.com/users/Glavin001/gists{/gist_id}","starred_url":"https://api.github.com/users/Glavin001/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/Glavin001/subscriptions","organizations_url":"https://api.github.com/users/Glavin001/orgs","repos_url":"https://api.github.com/users/Glavin001/repos","events_url":"https://api.github.com/users/Glavin001/events{/privacy}","received_events_url":"https://api.github.com/users/Glavin001/received_events","type":"User","site_admin":false},"labels":[{"url":"https://api.github.com/repos/Glavin001/Wearables-Research/labels/enhancement","name":"enhancement","color":"84b6eb"},{"url":"https://api.github.com/repos/Glavin001/Wearables-Research/labels/help%20wanted","name":"help wanted","color":"159818"},{"url":"https://api.github.com/repos/Glavin001/Wearables-Research/labels/MUSE","name":"MUSE","color":"0052cc"}],"state":"open","locked":false,"assignee":{"login":"mtriff","id":6794845,"avatar_url":"https://avatars.githubusercontent.com/u/6794845?v=3","gravatar_id":"","url":"https://api.github.com/users/mtriff","html_url":"https://github.com/mtriff","followers_url":"https://api.github.com/users/mtriff/followers","following_url":"https://api.github.com/users/mtriff/following{/other_user}","gists_url":"https://api.github.com/users/mtriff/gists{/gist_id}","starred_url":"https://api.github.com/users/mtriff/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/mtriff/subscriptions","organizations_url":"https://api.github.com/users/mtriff/orgs","repos_url":"https://api.github.com/users/mtriff/repos","events_url":"https://api.github.com/users/mtriff/events{/privacy}","received_events_url":"https://api.github.com/users/mtriff/received_events","type":"User","site_admin":false},"milestone":{"url":"https://api.github.com/repos/Glavin001/Wearables-Research/milestones/1","html_url":"https://github.com/Glavin001/Wearables-Research/milestones/Muse%20-%20ICCICC-2016","labels_url":"https://api.github.com/repos/Glavin001/Wearables-Research/milestones/1/labels","id":1181891,"number":1,"title":"Muse - 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Precision (2 sub columns), Entire dataset, ten-fold cross-validation\r\n- [x] Explanation of Variable names (for Variable Importance)\r\n  - B1.Beta.1 = Bin 1, Beta wave, Location 1\r\n- [x] Add more minsplit tests for Decision Tree\r\n- [x] Fix SVM and Random Forest accuracy results\r\n\r\n\r\n"},"comment":{"url":"https://api.github.com/repos/Glavin001/Wearables-Research/issues/comments/185834964","html_url":"https://github.com/Glavin001/Wearables-Research/issues/13#issuecomment-185834964","issue_url":"https://api.github.com/repos/Glavin001/Wearables-Research/issues/13","id":185834964,"user":{"login":"Glavin001","id":1885333,"avatar_url":"https://avatars.githubusercontent.com/u/1885333?v=3","gravatar_id":"","url":"https://api.github.com/users/Glavin001","html_url":"https://github.com/Glavin001","followers_url":"https://api.github.com/users/Glavin001/followers","following_url":"https://api.github.com/users/Glavin001/following{/other_user}","gists_url":"https://api.github.com/users/Glavin001/gists{/gist_id}","starred_url":"https://api.github.com/users/Glavin001/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/Glavin001/subscriptions","organizations_url":"https://api.github.com/users/Glavin001/orgs","repos_url":"https://api.github.com/users/Glavin001/repos","events_url":"https://api.github.com/users/Glavin001/events{/privacy}","received_events_url":"https://api.github.com/users/Glavin001/received_events","type":"User","site_admin":false},"created_at":"2016-02-18T17:56:55Z","updated_at":"2016-02-18T17:56:55Z","body":"> Since the packages you have tried aren't working, I would say try using\r\nsomething like https://www.draw.io to create what you need manually.\r\n\r\nI will manually create the Decision Tree based on the *data* from this one:\r\n![image](https://cloud.githubusercontent.com/assets/1885333/13131938/5bbc04fc-d5c5-11e5-83a2-290477f8449a.png)\r\n\r\nAnd *look* a little more like this:\r\n![image](https://cloud.githubusercontent.com/assets/1885333/13152494/e3a1cc8c-d645-11e5-9d4a-743307d16211.png)\r\n\r\nTo confirm, what would you prefer to see?\r\n- [ ] Boxes or not boxes around Node labels?\r\n- [ ] Node labels are anonymous (0,1,2,3) or names (Bruce, Jerry, Matt, Toby)?\r\n- [ ] Percentages / Probabilities on Nodes labels?\r\n- [ ] Decision rules (i.e. `B1.Beta.1 < 35`) is below the Node (ex #1 above) or split up into leaves (ex #2 above)?\r\n- Anything else that would be useful to see when reading a paper?\r\n\r\n> The tables that are too wide should go on their own page. Once we have\r\nsettled on the tables, I can do that.\r\n\r\nThanks, I appreciate it.\r\n\r\n> We will use only the SVM and NN (1000 iterations) confusion matrices. \r\n\r\nExcellent, I think I had originally added Random Forest, SVM, and NN anyway.\r\nI will polish those confusion matrices for Person, Activity, and Person+Activity and finish off the `Results and Discussions` section about them.\r\n\r\n---\r\n\r\nAfter you look over `Experimental Design` and `Results and Discussions` let me know if there is anything I should add.\r\n\r\nWould we like to include tables on the `Recall` performance as well as the `Precision`? Maybe `Recall` is something for later, I could include in my thesis paper and not for this paper."}}