[ https://issues.apache.org/jira/browse/MADLIB-1249?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Frank McQuillan updated MADLIB-1249: ------------------------------------ Summary: Add impurity importance to RF (was: Add gini importance to RF) > Add impurity importance to RF > ----------------------------- > > Key: MADLIB-1249 > URL: https://issues.apache.org/jira/browse/MADLIB-1249 > Project: Apache MADlib > Issue Type: New Feature > Components: Module: Random Forest > Reporter: Jingyi Mei > Assignee: Jingyi Mei > Priority: Major > Fix For: v1.15 > > > As a follow up of https://issues.apache.org/jira/browse/MADLIB-1205 > As a data scientist > I want a measure of variable importance in RF > so that > I can understand which predictors are most useful for predicting the response > variable. > We can add a similar measure in our RF code and distinguish this from our > permuted importance metric by calling the current metric as > {{oob_variable_importance}} and this new metric as > {{impurity_variable_importance}}. > Interface > Details of interface TBD, but involves: > * RF can use the {{importance}} param to generate both oob and gini > importance > * Write out to the {{<output_table_name>_group table}} -- This message was sent by Atlassian JIRA (v7.6.3#76005)