www.gusucode.com > 对图像特征的分类随机森林算法matlab源码程序 > test_ClassRF_extensively.m
%run plethora of tests %compile everything if strcmpi(computer,'PCWIN') |strcmpi(computer,'PCWIN64') compile_windows else compile_linux end total_train_time=0; total_test_time=0; % load data/twonorm % %twonorm, N=300, D=2 for i=1:10 fprintf('%d,',i); tic; model=classRF_train(inputs',outputs,1000); total_train_time=toc; tic; y_hat = classRF_predict(inputs',model); total_test_time=total_test_time+toc; length(find(y_hat~=outputs))/length(outputs) %keyboard end fprintf('\nnum_tree %d: Avg train time %d, test time %d\n',1000,total_train_time/100,total_test_time/100);