From aa717e977408dcb5f0d2c81ce7c55c4fddd4931c Mon Sep 17 00:00:00 2001
From: Ryan Curtin <ryan@ratml.org>
Date: Mon, 25 Sep 2023 13:18:43 -0400
Subject: [PATCH] Try <code> html snippet.

---
 doc/user/methods/decision_tree.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/doc/user/methods/decision_tree.md b/doc/user/methods/decision_tree.md
index 9d29295638..254e263d9a 100644
--- a/doc/user/methods/decision_tree.md
+++ b/doc/user/methods/decision_tree.md
@@ -15,7 +15,7 @@ constructor parameters that can be used to control the behavior of the tree.
 |---------------|-----------------|
 | `DecisionTree(numClasses)` | Initialize tree without training. |
 | `DecisionTree(data, labels, numClasses)` | Train on numerical-only data. |
-| ```DecisionTree(data, labels, numClasses, minimumLeafSize,<br>minimumGainSplit, maximumDepth)``` | Train on numerical-only data with hyperparameters. |
+| <code>DecisionTree(data, labels, numClasses, minimumLeafSize,<br>minimumGainSplit, maximumDepth)</code> | Train on numerical-only data with hyperparameters. |
 | `DecisionTree(data, datasetInfo, labels, numClasses)` | Train on mixed categorical data. |
 | `DecisionTree(data, datasetInfo, labels, numClasses, minimumLeafSize, minimumGainSplit, maximumDepth)` | Train on mixed categorical data with hyperparameters. |
 | `DecisionTree(data, datasetInfo, labels, numClasses, weights)` | Train on weighted mixed categorical data. |