Is the code for binary logistic regression is correct using glmfit? I am new in this domain , so confused a bit
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%%
clc
clear all
close all
warning off
%%
g=[2.7810836 2.550537003 0
1.465489372 2.362125076 0
3.396561688 4.400293529 0
1.38807019 1.850220317 0
3.06407232 3.005305973 0
7.627531214 2.759262235 1
5.332441248 2.088626775 1
6.922596716 1.77106367 1
8.675418651 -0.242068655 1
7.673756466 3.508563011 1];
contr=g(:,[1:2]);
detection=g(:,3);
%%
b=glmfit(contr, detection, 'binomial');
%%
p = 1./(1+exp(-1*(b(1)+b(2)*g(:,1)+b(3)*g(:,3))));
s=[];
for i=1:length(p)
if(p(i)>=0.5)
s=[s 1];
else
s=[s 0];
end
end
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