One vs one SVM for classes 1 and 5 but I have 10 classes in total. Should I train and test on all rows or...












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I want to use soft margin SVM for my dataset. My dataset contains 10 digits - 0 to 9.



I need to train using one-vs-one SVM classifier(one digit is class +1 and another digit is class -1) for digits '1'(+1) and '5'(-1).



Do I need to take subset from the training and testing dataset ?



Or should I test the SVM model on all the classes.










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    0












    $begingroup$


    I want to use soft margin SVM for my dataset. My dataset contains 10 digits - 0 to 9.



    I need to train using one-vs-one SVM classifier(one digit is class +1 and another digit is class -1) for digits '1'(+1) and '5'(-1).



    Do I need to take subset from the training and testing dataset ?



    Or should I test the SVM model on all the classes.










    share|improve this question











    $endgroup$















      0












      0








      0





      $begingroup$


      I want to use soft margin SVM for my dataset. My dataset contains 10 digits - 0 to 9.



      I need to train using one-vs-one SVM classifier(one digit is class +1 and another digit is class -1) for digits '1'(+1) and '5'(-1).



      Do I need to take subset from the training and testing dataset ?



      Or should I test the SVM model on all the classes.










      share|improve this question











      $endgroup$




      I want to use soft margin SVM for my dataset. My dataset contains 10 digits - 0 to 9.



      I need to train using one-vs-one SVM classifier(one digit is class +1 and another digit is class -1) for digits '1'(+1) and '5'(-1).



      Do I need to take subset from the training and testing dataset ?



      Or should I test the SVM model on all the classes.







      machine-learning python svm






      share|improve this question















      share|improve this question













      share|improve this question




      share|improve this question








      edited 2 days ago







      DukeLover

















      asked 2 days ago









      DukeLoverDukeLover

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