title: WEKA: issue with attribute scales
body: <p>I've a training data sets and multiple test sets (I'm classifying instances in a clustering framework, so the instances of the test set are computed on fly).</p>
  
  <p>The instances attributes have different scales (the first one varies from 0 to 1, and the second from 0 to 100).</p>
  
  <p>How do my classifiers (logistic regression and SMO) deal with the fact they don't have the entire test set at once ?</p>
  
  <p>In other terms, how do they deal with different scale attributes if they don't know what the maximum value is in the test set ?</p>
  
  <p>thanks</p>