title: Classification using R in a data set with numeric and categorical variables
body: <p>I'm working on a very big data-set.(csv)</p>
  
  <p>The data set is composed from <strong>both numeric and categorical columns</strong>.</p>
  
  <p>One of the columns is my "target column" , meaning i want to use the other columns to determine which value (out of 3 possible known values) is likely to be in the "target column". In the end check my classification vs the real data.</p>
  
  <p>My question:  </p>
  
  <p>I'm using R.</p>
  
  <p>I am trying to find a way to select the subset of features which give the best classifiation.
  going over all the subsets is impossible.</p>
  
  <p>Does anyone know an algorithm or can think of a way do it on R?</p>