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[DOC]: Fix typo #258

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merged 2 commits into from
May 14, 2024
Merged

[DOC]: Fix typo #258

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a5a28c6
Fix minor typo in cross_validarion.rst
Dante-010 May 9, 2024
813a516
Remove newline from 258.doc
Dante-010 May 9, 2024
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1 change: 1 addition & 0 deletions docs/changes/contributors.inc
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Expand Up @@ -4,3 +4,4 @@
.. _Shammi More: https://www.fz-juelich.de/SharedDocs/Personen/INM/INM-7/EN/More_s.html?nn=654218
.. _Leonard Sasse: https://github.com/LeSasse
.. _Synchon Mandal: https://github.com/synchon
.. _Dante Culaciati: https://github.com/Dante-010
1 change: 1 addition & 0 deletions docs/changes/newsfragments/258.doc
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@@ -0,0 +1 @@
Fixed a typo in cross validation by `Dante Culaciati`_
2 changes: 1 addition & 1 deletion docs/what_really_need_know/cross_validation.rst
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Expand Up @@ -16,7 +16,7 @@ Cross-validation - The fundamentals
This means that in order to evaluate if a model is *successful* in learning,
we need to evaluate if it is able to predict new data. Thus, we need to have
separate data for learning and testing. At the same time, data is a valuable
resource in machine learning and one wants to use it as efficeint as possible.
resource in machine learning and one wants to use it as efficiently as possible.

To solve this, we use *cross validation*. The core idea is that we want to
train (also named *fit*) a model on a subset of our data and evaluate it on a
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