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Lindsay.Lu丶 / sleep-stage-identification

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testSVM.m 622 Bytes
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Tri Fennia Lesmana 提交于 2017-08-15 23:07 . add documentation (2)
function acc = testSVM(feature, target, SVMModels)
%Test Support Vector Machines (SVM) model using One VS One
% Syntax:
% acc = testSVM(feature, target, SVMModels)
%
% Input:
% *) feature - feature collection
% (Matrix size: total samples X total features)
% *) target - target of each sample
% (Matrix size: total samples X 1)
% *) SVMModels - SVM model collection from trainSVM() function
% (Cell size: totalClass * (totalClass - 1) / 2)
%
% Output:
% *) acc - accuracy
predicted = predict(SVMModels, feature);
acc = sum(target == predicted) / length(target) * 100;
end
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