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minor: removing line in doc
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docs/mllib-decision-tree.md

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@@ -86,7 +86,7 @@ details). For example, for a binary classification problem with one categorical
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categories A, B and C with corresponding proportion of label 1 as 0.2, 0.6 and 0.4, the categorical
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features are ordered as A followed by C followed B or A, B, C. The two split candidates are A \| C, B
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and A , B \| C where \| denotes the split.
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### Stopping rule
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The recursive tree construction is stopped at a node when one of the two conditions is met:

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