knn ans SVM where svm returns error

I am using knn and svm for classification

i get correct answer using knn,but if i use svm it returns wrong result

for examples

my train dataset is 

datsig1 =

          2551        1973
          2816        2887
          7070        6897
          2873        2979
          2588        2675
          1712        2274
           909        4859
           792        4914
          1823        7162
           878        5039
           885        5534

S=

2873        2979

groups=[1;1;1;1;1;1;0;0;0;0;0]

i get 0 if i classify uing svm

kindly help

cl = svmtrain(datsig1,group);
result = svmclassify(cl,S)

result =

       0

Answer 1

[Shashank Prasanna]

groups=[1;1;1;1;1;1;0;0;0;0;0]
cl = svmtrain(datsig1,groups);
result = svmclassify(cl,S)

result =

       1

This gave me the right results. What version of MATLAB are you using? Clear your workspace and try it from start.

Also as with all classification algorithm results are completely dependent on your training data and also options in the classification method try different kernels etc.

[Greg Heath]

groups, not group