# Classification and Regression - spark.mllib

The `spark.mllib`

package supports various methods for
binary classification,
multiclass
classification, and
regression analysis. The table below outlines
the supported algorithms for each type of problem.

Problem Type | Supported Methods |
---|---|

Binary Classification | linear SVMs, logistic regression, decision trees, random forests, gradient-boosted trees, naive Bayes |

Multiclass Classification | logistic regression, decision trees, random forests, naive Bayes |

Regression | linear least squares, Lasso, ridge regression, decision trees, random forests, gradient-boosted trees, isotonic regression |

More details for these methods can be found here: