confusion matrix is *confusing* for ensamble classifers;

Hi everyone,

I am working with matlab version 2013b. I use fitensamble for segmentation.

The procedure is as follows. 1) I read the file, and visualize it. 2) I create feature vector by hand picking certain relevant pixels ranges and create labels(Clus) corresponding to these pixels.

P=[]; SIZE= length(x); for i=1:Clus, P = [P ; i*ones(round(SIZE/Clus),1)]; end

3) I presume their is certain mislabeling arising. 4) Thereafter I train the classifier with using the chosen pixels and labels with minileaf 5 and learnrate 0.1 and segment rest of the slices using this ensemble.

5)The classifier is trained using 600 pixels (stored in x and label P) and subjected to unknow pixel data of 2449365 (in w).

whos x w Name Size Bytes Class Attributes

w         2449365x1             19594920  double              
x             600x1                 4800  double 
In the end I get a segmented image but unable to plot confusion matrix.
can you guys please comment or suggest

%confusion Matrix

 tic, for i=1:1
            disp(sprintf('classifying slice no. %d....',i));
            s=sprintf('Slice: % d', i');
            R=double(AA(:,:,i));
            [r,c,v]=find(R>0);
            cyl=R>0;

            R1=cyl.*R;
            [m, n, w]=find(R1);
            Yfit = predict(bagTree,w);
            Yfits = predict(rusTree,w);
            end; toc,
       tab = tabulate(P)
      bsxfun(@rdivide,confusionmat(w,Yfit),tab(:,2))*100
      Error using bsxfun
Non-singleton dimensions of the two input arrays must match each other.

>> tab

tab =

     1   150    25
     2   150    25
     3   150    25
     4   150    25

whos w Yfit tab Name Size Bytes Class Attributes

Yfit      2449365x1             19594920  double              
tab             4x3                   96  double              
w         2449365x1             19594920  double