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4 changes: 2 additions & 2 deletions docs/mllib-classification-regression.md
Original file line number Diff line number Diff line change
Expand Up @@ -20,7 +20,7 @@ the supported algorithms for each type of problem.
<td>Binary Classification</td><td>linear SVMs, logistic regression, decision trees, random forests, gradient-boosted trees, naive Bayes</td>
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<td>Multiclass Classification</td><td>decision trees, random forests, naive Bayes</td>
<td>Multiclass Classification</td><td>logistic regression, decision trees, random forests, naive Bayes</td>
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<td>Regression</td><td>linear least squares, Lasso, ridge regression, decision trees, random forests, gradient-boosted trees, isotonic regression</td>
Expand All @@ -31,7 +31,7 @@ the supported algorithms for each type of problem.
More details for these methods can be found here:

* [Linear models](mllib-linear-methods.html)
* [binary classification (SVMs, logistic regression)](mllib-linear-methods.html#binary-classification)
* [classification (SVMs, logistic regression)](mllib-linear-methods.html#classification)
* [linear regression (least squares, Lasso, ridge)](mllib-linear-methods.html#linear-least-squares-lasso-and-ridge-regression)
* [Decision trees](mllib-decision-tree.html)
* [Ensembles of decision trees](mllib-ensembles.html)
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