title: WEKA - filtering out classes in a MultiClassClassifer
body: <p>I have trained a <code>MultiClassClassifier</code> (tested, working) and saved it somewhere on my hard drive. Now I want to make predictions for a new sample I got. I load my application and my classifier auto loads with it. I have narrowed down the search to five 5 possible classes already for the sample, outside the classification process. This means, I know <code>k</code> classes, that can easily be avoided in the classification.</p>
  
  <p><strong>Is it possible to filter a MultiClassClassifier (filter out all unwanted  classes) before using it?</strong></p>
  
  <p><strong>If it is?</strong> What would be the Weka method to work with for this purpose? <strong>If not</strong>, is there an alter. solution?</p>
  
  <p>I want to increase the accuracy of the classifier by narrowing down the focus on 5 classes out of <code>n</code> classes.</p>
  
  <p>I've found how to filter <code>Instances</code> objects but can't seem to find a proper  method for the <code>MultiClassClassifer</code>.</p>
  
  <p>My data to manipulate with is/are my testing <code>Instances</code> and my <code>MultiClassClassifier</code>.</p>
  
  <p>Thank You in advance.</p>