title: Rapidminer: Explaining decision tree parameters
body: <p>I am very new to rapidminer and data mining in general but I have attempted to make a cursory search for what all of the parameters mean in rapidminers decision tree parameters and came up lacking. I know what a leaf is and a node and am at the point of getting my head around a few of the parameters but any knowledge shared would be appreciated.
  I.E. What does they all really do?
  criterion
  minimal size for split
  minimal leaf size
  minimal gain
  maximal depth
  confidence</p>
  
  <p>Also without using optimization, is trail an error the best way to get the best prediction?
  Thanks,
  S</p>