Timeline for For which set of values of predictors will my response variable be guaranteed to equal a certain level
Current License: CC BY-SA 3.0
18 events
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Aug 21, 2017 at 12:11 | history | protected | CommunityBot | ||
S Aug 10, 2017 at 10:43 | history | bounty ended | CommunityBot | ||
S Aug 10, 2017 at 10:43 | history | notice removed | CommunityBot | ||
Aug 2, 2017 at 14:26 | history | tweeted | twitter.com/StackStats/status/892753569060925442 | ||
Aug 2, 2017 at 11:00 | comment | added | Mal_a | Well i do have more then one predictor (my original dataset has at least 3 predictors), therefore i need combination of all of them together | |
Aug 2, 2017 at 10:57 | comment | added | IWS | The classification model aside, unless you only have one predictor, there might be/are going to be multiple predictor value combinations which result in a certain classification. For example, a high value on predictor 1 on its own might result in (high probability of) class 1, while moderate to high values on predictors 2 and 4 might also result in class 1. My question/suggestion: do you want to find the single least 'errorprone' classification rule, or would you also want to combine such predictorpatterns into a classification rule? | |
Aug 2, 2017 at 9:46 | history | edited | Mal_a | CC BY-SA 3.0 |
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Aug 2, 2017 at 9:29 | comment | added | Patrik | I think you are trying to get the ranges of values in the variables for which a typical outcome would be Species=setosa. Correct? In this case a descriptive statistics with confidence intervals would maybe suffice? | |
S Aug 2, 2017 at 9:03 | history | bounty started | Mal_a | ||
S Aug 2, 2017 at 9:03 | history | notice added | Mal_a | Canonical answer required | |
Aug 2, 2017 at 9:01 | history | edited | Mal_a | CC BY-SA 3.0 |
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Aug 2, 2017 at 8:54 | history | edited | Mal_a | CC BY-SA 3.0 |
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Aug 2, 2017 at 8:48 | history | edited | Mal_a | CC BY-SA 3.0 |
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Aug 2, 2017 at 6:28 | comment | added | Mal_a | Exactly i wanna "get" setosa and "only" setosa. I have tried already classification using RF, but i have no idea how i can get the best representative combination of values and not only predicition. I got really stuck at this point | |
Jul 27, 2017 at 14:41 | comment | added | Sycorax♦ | What does it mean to "get" species of setosa? If you label all of your data "setosa," you're guaranteed to "get" all of the setosa in it (and a lot of non-setosa also). So it seems more sensible to "get" setosa and only setosa, which sounds like a classification problem, which is an enormous field. I recommend you start by reading Elements of Statistical Learning. | |
Jul 27, 2017 at 13:48 | review | Close votes | |||
Jul 28, 2017 at 13:27 | |||||
Jul 27, 2017 at 12:36 | answer | added | juod | timeline score: 1 | |
Jul 27, 2017 at 9:44 | history | asked | Mal_a | CC BY-SA 3.0 |