This class uses the proximity matrix of the random survival forest algorithm as a similarity matrix (sqrt(1 - proximity matrix)) of learning and verum cases. By default all cases with at least one missing values are dropped from learning, calculating the distance matrix, and searching for similar cases.
For usage details see Methods, Arguments, and Examples sections.
This method is used to create an
object of this class
RFModel. Formula for analysis has to be
provided. Further parameters for the ranger call can be provided here.
Fits the RandomForest model.
Set the proximity measure, 'Depth' (Default) and 'Proximity' are allowed.
See CBRBase class.
Englund and Verikas. A novel approach to estimate proximity in a random forest: An exploratory study.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.