Create a function removeInsignificant(), which takes a dataset X and labels Y, p-value significance level (for example, p=0.1, p=0.05) and uses ANOVA or t-test to detect statistically insignificant features (regarding difference between records belon

function [X_take] = removeInsignificant(X, Y, p)

for i = 1:16

disp(i)

p2 = anova1(X(:,i),Y(:,1),'off');

disp(p2)

end

r = p2 >= p;

disp(r)

X_take = ones(size(X,2),1);

end