test.m

调用过程 CM = Confusion_matrix(train_predicts, train_targets) [combining_predicts, errorrate] = combinin

train_predicts=[1,0,1,1,1,1,1,0,1,1;
                1,0,1,1,1,1,1,0,1,1;
                1,0,1,1,1,1,1,0,1,1;
                1,0,1,1,1,1,1,0,1,1;
                1,0,1,1,1,1,1,0,1,1];
            
 train_targets=[1,0,1,1,1,1,1,0,1,1];
            
CM = Confusion_matrix(train_predicts, train_targets);

DP(:,:,1)=[1 0;1 0;1 0;1 0;1 0];
% DP(:,:,2)=[0 1;1 0;1 0;1 0;1 0];
% DP(:,:,3)=[0 1;0 1;0 1;0 1;0 1];
% DP(:,:,4)=[1 0;1 0;0 1;1 0;1 0];

test_targets=1;
[combining_predicts, errorrate] = combining_NB(DP, test_targets, CM);