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authorRaymond Hettinger <rhettinger@users.noreply.github.com>2019-03-09 08:42:23 (GMT)
committerMiss Islington (bot) <31488909+miss-islington@users.noreply.github.com>2019-03-09 08:42:23 (GMT)
commitd70a359adfdbe02538559cceaa0b459d055651be (patch)
treec2fe5bfad0c48b7979063f2245eb15499c9aba1d /Doc
parent8479a3426eb7d1840473f7788e639954363ed37e (diff)
downloadcpython-d70a359adfdbe02538559cceaa0b459d055651be.zip
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Make a documentation link target more specific (GH-12249)
Diffstat (limited to 'Doc')
-rw-r--r--Doc/library/statistics.rst6
1 files changed, 3 insertions, 3 deletions
diff --git a/Doc/library/statistics.rst b/Doc/library/statistics.rst
index 9aa8333..3e14434 100644
--- a/Doc/library/statistics.rst
+++ b/Doc/library/statistics.rst
@@ -632,9 +632,9 @@ model:
Normal distributions commonly arise in machine learning problems.
Wikipedia has a `nice example of a Naive Bayesian Classifier
-<https://en.wikipedia.org/wiki/Naive_Bayes_classifier>`_. The challenge is to
-predict a person's gender from measurements of normally distributed features
-including height, weight, and foot size.
+<https://en.wikipedia.org/wiki/Naive_Bayes_classifier#Sex_classification>`_.
+The challenge is to predict a person's gender from measurements of normally
+distributed features including height, weight, and foot size.
We're given a training dataset with measurements for eight people. The
measurements are assumed to be normally distributed, so we summarize the data