Leave-one-​out-crossv​alind

After extracting HOG features of some male and female pictures, I'm trying to use the Leave-one-out-method to classify my data. Due the standard way to write it in Matlab is:

[Train, Test] = crossvalind('LeaveMOut', N, M);

What I should write instead of N and M ? Also, should I write the code inside or outside a loop? this is my code, where I have training folder for Male (80 images) and female (80 images), and testing folder with (10 random images).

for i = 1:10  
 [Train, Test] = crossvalind('LeaveMOut', N, 1);
 SVMStruct = svmtrain(Training_Set (Train), train_label (Train));
 Gender = svmclassify(SVMStruct, Test_Set_MF (Test)); 
end

Notes:

• Training_Set : an array contains HOG features of training folder images.
• Test_Set_MF : an array contains HOG features of test folder images.
• N : total number of images in training folder.
• SVM should detect which images are male and which are female.