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Aug 2, 2017 at 8:38 comment added juod Then you should search for answers (or post a new question) specifically about the method you used, because this process is very different for different approaches. Also, you will need to define your loss function - i.e. what do you mean by "most representative"? Identify only setosa? Identify as many setosa as possible within some predictor bin? Make least classification errors?..
Aug 2, 2017 at 6:26 comment added Mal_a Exactly i am looking for classification (i already did it with RF), however what i get from it is only predicition of the Species and i need to find the representative values set (the best combination) of parameters which lead to predicition of one of the Species, in my case it is setosa.As for example values of: Sepal.Length 5.1, Sepal.Width 3.0, Petal.Length 1.4, Petal.Width 0.2 are most representative of Species Setosa.
Jul 27, 2017 at 12:36 history answered juod CC BY-SA 3.0