how to fixed specific results for times of implementation

 Accuracy=off(data,z)
 for i=1:100
 n = size(data,1);
 data_rand = data(randperm(n),:);
 m = ceil(n/20);
 k = 1:m:n-m;
 test = data_rand(k:k+m-1,:);
 train = [data_rand(1:k-1,:); data_rand(k+m:end,:)];
 here code for calculate auc 
 end
 accuracy=mean(auc)

the previous code every time change the values of test and train variables, so the value of auc is changed every time.

say the final result is

accuracy=0.7654 and in another time

accuracy=0.6543 and

accuracy=0.4657

but i want to fixed the specific result say 0.6543 i.e if i run previous code more times will give the same results (0.6543)

Answer 1

[MHN]

Use

rng(1,'twister')

at top of your code. It controls random number generation functions and you will always see the same result as long as you do not change the seed (e.g. 1) and generator method (e.g. twister).