From ddb7d8fcf043f6d86cd31624b3a7cb108e1d56ac Mon Sep 17 00:00:00 2001 From: thor-harsh <105957576+thor-harsh@users.noreply.github.com> Date: Thu, 17 Aug 2023 12:37:47 +0530 Subject: [PATCH] Update decision_tree.py --- machine_learning/decision_tree.py | 1 + 1 file changed, 1 insertion(+) diff --git a/machine_learning/decision_tree.py b/machine_learning/decision_tree.py index 65d950119..2ff53d89f 100644 --- a/machine_learning/decision_tree.py +++ b/machine_learning/decision_tree.py @@ -162,6 +162,7 @@ def main(): calculating Root Mean Squared Error over Mean Sqaured error beacause 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. + You can check out these https://stephenallwright.com/rmse-vs-mse/ to know the reason for this. """ x = np.arange(-1.0, 1.0, 0.005) y = np.sin(x)