Fix minor typo in cross_validarion.rst

juaml · May 9, 2024 · bff84a9 · bff84a9
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diff --git a/docs/changes/contributors.inc b/docs/changes/contributors.inc
@@ -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
diff --git a/docs/changes/newsfragments/258.doc b/docs/changes/newsfragments/258.doc
@@ -0,0 +1 @@
+Fixed a typo in cross validation by `Dante Culaciati`_
diff --git a/docs/what_really_need_know/cross_validation.rst b/docs/what_really_need_know/cross_validation.rst
@@ -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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		@@ -0,0 +1 @@
		Fixed a typo in cross validation by `Dante Culaciati`_