can anybody tell me how to generate confusion matrix in support vector machine?

can anybody tell me how to generate confusion matrix in support vector machine? If somebody want explanation about confusion matrix then it is actually matrix which contain percent values of classification of correct classes and miscalculated classes.Like suppose I have 10 class classification and i give some input so that test values will be checked and some value will be predicted like actually and correct value in one class and wrongly predicted value in some other classes.like 80% comes in one class and rest 10 percent class 2 ,5%class 3 and 5% in class 4....like this.I want to show it in matrix form?Anybody know this how to do?

Answer 1

[the cyclist]

There is a confusionmat() command.

[karan dev]

Thank you very much.Actually can you favor me one more thing can you tell me how to see this confusion matrix in directly percentage.Again thanks for this answer

[the cyclist]

Well, the on-diagonal elements are the counts of the correctly classified objects, so you just need the sum of those counts divided by the total count. If C is your confusion matrix, then I believe

>> sum(diag(C))/sum(C(:))

is the fraction of correctly classified objects.

Sound right?

You can do similar division of counts by totals to get any of the percentages you want.