[
https://issues.apache.org/jira/browse/MADLIB-976?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Frank McQuillan updated MADLIB-976:
-----------------------------------
Fix Version/s: (was: v1.12)
v2.0
> Random Forest - extremely long training time
> --------------------------------------------
>
> Key: MADLIB-976
> URL: https://issues.apache.org/jira/browse/MADLIB-976
> Project: Apache MADlib
> Issue Type: Bug
> Components: Module: Random Forest
> Reporter: Rashmi Raghu
> Fix For: v2.0
>
>
> When running Random Forest training function on a modest data set it took a
> long time - much longer than expected or desired. The training data set has
> around 8000 rows and 400 features. Several models on similar data all took
> around 40,000 seconds to run. Each time we used 100 trees and 14 random
> features selected. Dataset shared offline.
--
This message was sent by Atlassian JIRA
(v6.4.14#64029)
