title: Is it possible to have better prediction on test data set?
body: <p>I divided my data into 70% training and 30% test. Built a classifier using the training data, fit the model to the training data then use it to predict for the test data.</p>
  
  <p>My cross validated precision score and recall score is significantly higher for the test data set. Is this possible? or does it mean I've committed a coding error?</p>