SVM Tester

function [score iter correct falseNeg falsePos unsures] = TestVectorMachine( weight, kernel, labels, bias )

%Test function for vector machien -- takes in a set of training data and
%its labels and tests a given set of alphas and a bias against it
[xn xm] = size(kernel);
[yn ym] = size(labels);
[an am] = size(weight);

%if(xn ~= am || ym ~= xn)
  %  display('Sorry, this is an idiot proof function.  Try again!');
 %   return;
%end
falseNeg = 0;
falsePos = 0;
unsures = 0;
iter = 0;
for i = 1:xn
    fXi = (weight .* labels) * kernel(i,:) + bias;
    if (fXi * labels(i))  <= 0
        if(fXi > 0)
            falsePos = falsePos + 1;
        end
       
        if(fXi < 0)
            falseNeg = falseNeg + 1;
        end
       
        if(fXi == 0)
            unsures = unsures + 1;
        end
       
        iter = iter + 1;
    end
end

score = (xn - iter) / xn * 100;
correct = xm - iter;