How can i use Random Forest classifier ?

I know that sounds stupid but im very very very new to matlab and i have a homework to do. Basicly i searched whole internet to find out for a basic example of using Random Forest. https://ch.mathworks.com/help/stats/treebagger.html#bvf7_tc-1 this one helped me a little but im still confused about the usage. I understand that i need to use NumPredictorsToSample but how ? can somebody please show me a VERY simple syntax and show me which piece of code does what. Im very desperate.

Answer 1

[zineb kaoudja]

%Tr is the training samples

%cl1 is the class label for the training images

%Ts is the testing samples

%cl2 is the class label for the test images

nTrees=500;

B = TreeBagger(nTrees,Tr,cl1, 'Method', 'classification');

predChar1 = B.predict(Ts); % Predictions is a char though. We want it to be a number.

c = str2double(predChar1);

consistency=sum(c==cl2)/length(cl2);

[adel medrar]

thank you