how to get accuracy using K-fold cross validation with multiclass svm?
1 vue (au cours des 30 derniers jours)
Afficher commentaires plus anciens
Please help me, I want to know accuracy from my classification using K-fold cross validation with multiclass svm. this is my code
if true %please delete this code
load trainingData
[g, gn] = grp2idx(Group);
TrainingSet=Data;
GroupTrain=g;
TestSet=Data;
end %please delete this code
u=unique(GroupTrain);
numClasses=length(u);
result = zeros(length(TestSet(:,1)),1);
for k=1:numClasses
%Vectorized statement that binarizes Group
%where 1 is the current class and 0 is all other classes
G1vAll=(GroupTrain==u(k))
models(k) = svmtrain(TrainingSet,G1vAll, ...
'Autoscale',true, 'Showplot',false, 'Method','QP', ...
'BoxConstraint',2e-1, 'Kernel_Function','rbf', 'RBF_Sigma',1)
end
for j=1:size(TestSet,1)
for k=1:numClasses
if(svmclassify(models(k),TestSet(j,:)))
break;
end
end
result(j) = k;
end
0 commentaires
Réponses (0)
Voir également
Catégories
En savoir plus sur Statistics and Machine Learning Toolbox dans Help Center et File Exchange
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!