diff --git a/doc/user/methods/decision_tree.md b/doc/user/methods/decision_tree.md
index d054c17886..53015df345 100644
--- a/doc/user/methods/decision_tree.md
+++ b/doc/user/methods/decision_tree.md
@@ -5,11 +5,11 @@ numerical and categorical features, by default using Gini gain to choose which
 feature to split on.  The class offers several template parameters and several
 constructor parameters that can be used to control the behavior of the tree.
 
-<div class="highlight highlight-html"><pre>
-DecisionTree tree(3); // <a href="#constructors">Step 1</a>: construct object.
-tree.Train(data, labels, 3); // [Step 2](#training): train model.
-tree.Classify(test_data, test_predictions); // [Step 3](#classification): use model to classify points.
-</pre></div>
+<pre>
+DecisionTree tree(3); <span class="#pl-c">// <a href="#constructors">Step 1</a>: construct object.</span>
+tree.Train(data, labels, 3); // <a href="#training">Step 2</a>: train model.
+tree.Classify(test_data, test_predictions); // <a href="#classification">Step 3</a>: use model to classify points.
+</pre>
 
 ### Constructors