title: Decision tree using continuous variable
body: <p>I have a question about Decision tree using continuous variable</p>
  <p>I heard that when output variable is continuous and input variable is categorical,
  split criteria is reducing variance or something. but I don't know how it work if input variable is continuous</p>
  <ol>
  <li><p>input variable : continuous / output variable : categorical</p>
  </li>
  <li><p>input variable : continuous / output variable : continuous</p>
  </li>
  </ol>
  <p>About two cases, how we can get a split criteria like gini index or information gain?</p>
  <p>When I use rpart in R, whatever input variable and output variable are it works well, but I don't know the algorithm in detail.</p>