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doc/introduction.rst
@@ -66,7 +66,7 @@ The learning phase and the subsequent prediction of machine learning algorithms
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can be affected by the problem of imbalanced data set. The balancing issue
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corresponds to the difference of the number of samples in the different
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classes. We illustrate the effect of training a linear SVM classifier with
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-different level of class balancing.
+different levels of class balancing.
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.. image:: ./auto_examples/over-sampling/images/sphx_glr_plot_comparison_over_sampling_001.png
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:target: ./auto_examples/over-sampling/plot_comparison_over_sampling.html
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