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doc/modules/cross_validation.rst
@@ -954,7 +954,7 @@ to obtain good results. A high p-value could be due to a lack of dependency
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between features and labels (there is no difference in feature values between
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the classes) or because the classifier was not able to use the dependency in
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the data. In the latter case, using a more appropriate classifier that
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-is able to utilize the structure in the data, would result in a low
+is able to utilize the structure in the data, would result in a lower
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p-value.
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Cross-validation provides information about how well a classifier generalizes,
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