Hello all,
I just want to ask a question as I am new to matlab
when I finished training the network, I want to measure network accuracy by comparing the target class and testing result how can i do it?
My dataset.xlsx is attached for understanding more and my SvmTrain code is:
svmstruct=svmtrain (Attributes,Classes, 'boxconstraint',C, 'kernel_function','rbf', 'rbf_sigma',0.5);
Thanks
Sir,
Kindly refer IEEE journals. What answer they got? Compare it with your answer . IEEE journal is a bench mark .
Do you know how can I work with confusion matrix in Matlab? And how can I calculate TPR ?
Dear Ehsan Nowroozi,
In terms of your first question,for confusion matrix in Matlab you can use "confusionmat" function that has two input argument; known and predicted groups of variables. This function returns the confusion matrix C and the order of the rows and columns of C.
[C,order]= confusionmat(group,grouphat)
More information is given in the following link
Good Luck.
http://www.mathworks.com/help/stats/confusionmat.html
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