title: methods does not give confusion matrix in weka
body: <p>I want to do classification in weka. I am using some methods(Random Tree, Random Forest, Decision Table, RandomSubspace...) but they give results like below. </p>
  
  <pre><code>=== Cross-validation ===
  === Summary ===
  
  Correlation coefficient                  0.1678
  Mean absolute error                      0.4832
  Root mean squared error                  0.4931
  Relative absolute error                 96.6501 %
  Root relative squared error             98.6323 %
  Total Number of Instances           100000 
  </code></pre>
  
  <p>However I want results as accurancy and confusion matrix. How can I get results like that?</p>
  
  <p>Note: When I use small dataset, it gives results as confusion matrix. Can it be related with the size of dataset?</p>