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| author | Raymond Hettinger <rhettinger@users.noreply.github.com> | 2019-03-09 00:42:23 -0800 |
|---|---|---|
| committer | Miss Islington (bot) <31488909+miss-islington@users.noreply.github.com> | 2019-03-09 00:42:23 -0800 |
| commit | d70a359adfdbe02538559cceaa0b459d055651be (patch) | |
| tree | c2fe5bfad0c48b7979063f2245eb15499c9aba1d | |
| parent | 8479a3426eb7d1840473f7788e639954363ed37e (diff) | |
| download | cpython-git-d70a359adfdbe02538559cceaa0b459d055651be.tar.gz | |
Make a documentation link target more specific (GH-12249)
| -rw-r--r-- | Doc/library/statistics.rst | 6 |
1 files changed, 3 insertions, 3 deletions
diff --git a/Doc/library/statistics.rst b/Doc/library/statistics.rst index 9aa83331ee..3e14434243 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 |