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I am working on a university R project of multivariate analysis and I need some help:

DATA: MIXED, with 17 variables : 4 qualitative and the 13 are continuous. PROBLEM: I don't have a class variable, and I have to create it before being able to do any classification. we have information about the class of of only 50/400 , (class of 2 actors with 50 movies) QUESTION: What would be the best method to create my class variable so that the classification would't be unbalanced by the a wrong weight of the created class variable; I have created a binary variable class with value 1 for the 50 movies and value 0 for the 350 others, used a logistic classifier but my accuracy is 0.005!! which made me think that class variable has to be created of considered differently! If the creation of the class variable the way i 've done was correct, is there any other optimal classification model that wouldn't be influenced by the big asymmetry of the class variable? Any suggestion please?

I am working on a university R project of multivariate analysis and I need some help:

DATA: MIXED, with 17 variables : 4 qualitative and the 13 are continuous. PROBLEM: I don't have a class variable, and I have to create it before being able to do any classification. we have information about the class of of only 50/400 , (class of 2 actors with 50 movies) QUESTION: What would be the best method to create my class variable so that the classification would't be unbalanced by the a wrong weight of the created class variable; I have created a binary variable class with value 1 for the 50 movies and value 0 for the 350 others, used a logistic classifier but my accuracy is 0.005!! which made me think that class variable has to be created of considered differently! Any suggestion please?

I am working on a university R project of multivariate analysis and I need some help:

DATA: MIXED, with 17 variables : 4 qualitative and the 13 are continuous. PROBLEM: I don't have a class variable, and I have to create it before being able to do any classification. we have information about the class of of only 50/400 , (class of 2 actors with 50 movies) QUESTION: What would be the best method to create my class variable so that the classification would't be unbalanced by a wrong weight of the created class variable; I have created a binary variable class with value 1 for the 50 movies and value 0 for the 350 others, used a logistic classifier but my accuracy is 0.005!! which made me think that class variable has to be created of considered differently! If the creation of the class variable the way i 've done was correct, is there any other optimal classification model that wouldn't be influenced by the big asymmetry of the class variable? Any suggestion please?

Source Link
C.Camus
C.Camus
  • 1
  • 1

classification-multivariate analysis+creation of class variable

I am working on a university R project of multivariate analysis and I need some help:

DATA: MIXED, with 17 variables : 4 qualitative and the 13 are continuous. PROBLEM: I don't have a class variable, and I have to create it before being able to do any classification. we have information about the class of of only 50/400 , (class of 2 actors with 50 movies) QUESTION: What would be the best method to create my class variable so that the classification would't be unbalanced by the a wrong weight of the created class variable; I have created a binary variable class with value 1 for the 50 movies and value 0 for the 350 others, used a logistic classifier but my accuracy is 0.005!! which made me think that class variable has to be created of considered differently! Any suggestion please?