diff --git a/src/mlpack/methods/decision_stump/decision_stump.hpp b/src/mlpack/methods/decision_stump/decision_stump.hpp
index 2cd4eed7d9..7f2b495124 100644
--- a/src/mlpack/methods/decision_stump/decision_stump.hpp
+++ b/src/mlpack/methods/decision_stump/decision_stump.hpp
@@ -115,7 +115,8 @@ class DecisionStump
    * @param predictedLabels Vector to store the predicted classes after
    *     classifying test data.
    */
-  mlpack_deprecated void Classify(const MatType& test, arma::Row<size_t>& predictedLabels);
+  mlpack_deprecated void Classify(const MatType& test,
+                                  arma::Row<size_t>& predictedLabels);
 
   //! Access the splitting dimension.
   size_t SplitDimension() const { return splitDimension; }
diff --git a/src/mlpack/methods/decision_tree/decision_tree.hpp b/src/mlpack/methods/decision_tree/decision_tree.hpp
index 48f5852b0d..9b3deef594 100644
--- a/src/mlpack/methods/decision_tree/decision_tree.hpp
+++ b/src/mlpack/methods/decision_tree/decision_tree.hpp
@@ -590,7 +590,8 @@ using DecisionStump = DecisionTree<FitnessFunction,
                                    false>;
 
 /**
- * Convenience typedef for decision tree (Three level decision trees).
+ * Convenience typedef for ID3decision stumps (single level decision trees
+ * made with ID3 algorithm).
  */
 typedef DecisionTree<InformationGain,
                      BestBinaryNumericSplit,