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| -rw-r--r-- | docs/mllib-classification-regression.md | 4 |
1 files changed, 2 insertions, 2 deletions
diff --git a/docs/mllib-classification-regression.md b/docs/mllib-classification-regression.md index 8e91d62f4a..0210950b89 100644 --- a/docs/mllib-classification-regression.md +++ b/docs/mllib-classification-regression.md @@ -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> </tr> <tr> - <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> </tr> <tr> <td>Regression</td><td>linear least squares, Lasso, ridge regression, decision trees, random forests, gradient-boosted trees, isotonic regression</td> @@ -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) |