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source/classification1.md
@@ -1532,8 +1532,8 @@ Imbalanced data with 7 nearest neighbors to a new observation highlighted.
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{numref}`fig:05-upsample-2` shows what happens if we set the background color of
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-each area of the plot to the predictions the K-nearest neighbors
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-classifier would make. We can see that the decision is
+each area of the plot to the prediction the K-nearest neighbors
+classifier would make for a new observation at that location. We can see that the decision is
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always "benign," corresponding to the blue color.
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```{code-cell} ipython3
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