%測試過程 Logistic_class.m

function [y] = Logistic_class(x_test_,beta_)
x_validation = x_test_;
beta = beta_;
s = size(x_validation);
p = zeros(s(1),1);

for i=1:s(1)
    p(i,1) = exp(beta'*x_validation(i,1:s(2))') / (1+exp(beta'*x_validation(i,1:s(2))'));
end
for i=1:s(1)
    if p(i)>0.1
        p(i)=1;
    else
        p(i)=0;
    end
end
y=p;