title: Is scaling of feature values in LibSVM necessary?
body: <p>If I have 200 features, and if each feature can have a value ranging from 0 to infinity, should I scale the feature values to be in the range [0-1] before I go ahead and train a LibSVM  on top of it?</p>
  
  <p>Now, suppose I did scale the values, and after training the model if I get one vector with its values or the features as input, how do I scale these values of the input test vector before classifying it?</p>
  
  <p>Thanks
  Abhishek S</p>