title: How does AUC of decision tree being calculated?
body: <p>Suppose I have a dataset which only has one continuous variable, and I try to use decision tree algorithm to build a model which classify the +ve and -ve label from the dataset. I run 10-fold cross-validation. </p>
  
  <p>How does the AUC being calculated for the Decision Tree classifier? Will the algorithm check different threshold value of the classifier, and determine the AUC?</p>
  
  <p>What about I have more than 2 continuous variable?</p>
  
  <p>Thanks!</p>