SVM classifier performance and flipping of arguments
1 Ansicht (letzte 30 Tage)
Ältere Kommentare anzeigen
Hi, I want to calculate the performance of SVM...i follow a very useful post of this forum.. SVM classifer
Here in the last there is an argument f..i have a question about that..what this argument means?? is it necessary to flip it? What is the benefit of this flipping. here is the code...Kindly tell me about the fliping of f .
shift = svm.ScaleData.shift;
scale = svm.ScaleData.scaleFactor;
Xnew = bsxfun(@plus,Xnew,shift);
Xnew = bsxfun(@times,Xnew,scale);
sv = svm.SupportVectors;
alphaHat = svm.Alpha;
bias = svm.Bias;
kfun = svm.KernelFunction;
kfunargs = svm.KernelFunctionArgs;
f = kfun(sv,Xnew,kfunargs{:})'*alphaHat(:) + bias;
f = -f; % flip the sign to get the score for the +1 class
0 Kommentare
Antworten (0)
Siehe auch
Kategorien
Mehr zu Classification finden Sie in Help Center und File Exchange
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!