title: Getting random forest prediction accuracy for a continuous variable in R
body: <p>I'm trying to predict a continuous variable (count) in <code>R</code> with random forest. The values of the predicted variable are <code>min=1</code> and <code>max=1000</code>.</p>
  
  <p>I tried getting the prediction accuracy with "confusionMatrix", but naturally I get the error of different number of levels between the prediction and the predicted.</p>
  
  <p>What is the best method of getting prediction accuracy in these circumstances?</p>