Variable Selection with Random Forest and the Area Under the Curve
Released Mar 19, 2012 by Victor Urrea, M.Luz Calle
Variable selection using Random Forest based on optimizing the area-under-the ROC curve (AUC) of the Random Forest.
This package can be included as a dependency from a Java or Scala project by including
the following your project's
about embedding Renjin in JVM-based projects.
<dependencies> <dependency> <groupId>org.renjin.cran</groupId> <artifactId>AUCRF</artifactId> <version>1.1-b240</version> </dependency> </dependencies> <repositories> <repository> <id>bedatadriven</id> <name>bedatadriven public repo</name> <url>https://nexus.bedatadriven.com/content/groups/public/</url> </repository> </repositories>
If you're using Renjin from the command line, you load this library by invoking:
This package was last tested against Renjin 0.8.2523 on Nov 12, 2017.