title: Why the decision tree shows a correct classificationthe while some instances are being misclassified
body: <p>I am using WEKA, 10-fold cross validation or split 66% to create training and testing sets .. I used c4.5 (J48) as a classifier .. 
  I get in my results that some instances are misclassified, but, when I visualize the tree I see that based on the tree the instances should have been classified correctly !!!</p>
  
  <p>I don't see this when the testing set is the same training set .. if the classifier decided to  create such a tree why some instances are not being classified based on this tree ???</p>
  
  <p>Thanks in advance.</p>