From ed5abdd37e80fd6444da1160fb27196be6467a52 Mon Sep 17 00:00:00 2001
From: thor-harsh <105957576+thor-harsh@users.noreply.github.com>
Date: Thu, 17 Aug 2023 13:46:50 +0530
Subject: [PATCH] Update decision_tree.py

---
 machine_learning/decision_tree.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/machine_learning/decision_tree.py b/machine_learning/decision_tree.py
index a925e76e2..8fee33c0e 100644
--- a/machine_learning/decision_tree.py
+++ b/machine_learning/decision_tree.py
@@ -164,7 +164,7 @@ def main():
     to predict the label of 10 different test values. Here we should prefer
     calculating Root Mean Squared Error over Mean Sqaured error because RMSE
     should be used when you need to communicate your results in an understandable
-    way to end users or when penalising outliers is less of a priority.Interpretation will be easy in this case.
+    way to end users or when penalising outliers is less of a priority.
     """
     x = np.arange(-1.0, 1.0, 0.005)
     y = np.sin(x)