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diff --git a/docs/mllib-classification-regression.md b/docs/mllib-classification-regression.md new file mode 100644 index 0000000000..719cc95767 --- /dev/null +++ b/docs/mllib-classification-regression.md @@ -0,0 +1,37 @@ +--- +layout: global +title: Classification and Regression - MLlib +displayTitle: <a href="mllib-guide.html">MLlib</a> - Classification and Regression +--- + +MLlib supports various methods for +[binary classification](http://en.wikipedia.org/wiki/Binary_classification), +[multiclass +classification](http://en.wikipedia.org/wiki/Multiclass_classification), and +[regression analysis](http://en.wikipedia.org/wiki/Regression_analysis). The table below outlines +the supported algorithms for each type of problem. + +<table class="table"> + <thead> + <tr><th>Problem Type</th><th>Supported Methods</th></tr> + </thead> + <tbody> + <tr> + <td>Binary Classification</td><td>linear SVMs, logistic regression, decision trees, naive Bayes</td> + </tr> + <tr> + <td>Multiclass Classification</td><td>decision trees, naive Bayes</td> + </tr> + <tr> + <td>Regression</td><td>linear least squares, Lasso, ridge regression, decision trees</td> + </tr> + </tbody> +</table> + +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) + * [linear regression (least squares, Lasso, ridge)](mllib-linear-methods.html#linear-least-squares-lasso-and-ridge-regression) +* [Decision trees](mllib-decision-tree.html) +* [Naive Bayes](mllib-naive-bayes.html) |