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doc/ensemble.rst
@@ -43,7 +43,7 @@ data set, this classifier will favor the majority classes::
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In :class:`BalancedBaggingClassifier`, each bootstrap sample will be further
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resampled to achieve the `sampling_strategy` desired. Therefore,
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-:class:`BalancedBaggingClassifier` takes the same parameters than the
+:class:`BalancedBaggingClassifier` takes the same parameters as the
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scikit-learn :class:`~sklearn.ensemble.BaggingClassifier`. In addition, the
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sampling is controlled by the parameter `sampler` or the two parameters
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`sampling_strategy` and `replacement`, if one wants to use the
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