Skip to main content
18 events
when toggle format what by license comment
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
added 10 characters in body; edited title
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
added 283 characters in body; edited tags
Aug 2, 2017 at 8:54 history edited Mal_a CC BY-SA 3.0
added 283 characters in body; edited tags
Aug 2, 2017 at 8:48 history edited Mal_a CC BY-SA 3.0
added 283 characters in body; edited tags
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