From a591a132caafdb1ca87df1227061ab309041b9e3 Mon Sep 17 00:00:00 2001
From: Jarrod Millman <jarrod.millman@gmail.com>
Date: Fri, 10 Jan 2025 09:56:19 -0800
Subject: [PATCH] Fix formatting

---
 packages/scikit-learn/index.rst | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/packages/scikit-learn/index.rst b/packages/scikit-learn/index.rst
index 526438cd..eeabed66 100644
--- a/packages/scikit-learn/index.rst
+++ b/packages/scikit-learn/index.rst
@@ -999,13 +999,13 @@ overall performance of an algorithm.  It appears in the bottom row
 of the classification report; it can also be accessed directly::
 
     >>> metrics.f1_score(y_test, y_pred, average="macro")
-    np.float64(0.991367...)
+    0.991367...
 
 The over-fitting we saw previously can be quantified by computing the
 f1-score on the training data itself::
 
     >>> metrics.f1_score(y_train, clf.predict(X_train), average="macro")
-    np.float64(1.0)
+    1.0
 
 .. note::