RandomForest-class {party} | R Documentation

## Class "RandomForest"

### Description

A class for representing random forest ensembles.

### Objects from the Class

Objects can be created by calls of the form `new("RandomForest", ...)`.

### Slots

`ensemble`:
  Object of class `"list"`, each element being an object of class `BinaryTree-class`.
`data`:
  an object of class `ModelEnv`.
`responses`:
  an object of class `"VariableFrame"` storing the values of the response variable(s).
`cond_distr_response`:
  a function computing the conditional distribution of the response.
`predict_response`:
  a function for computing predictions.
`prediction_weights`:
  a function for extracting weights from terminal nodes.

### Methods

treeresponse
  `signature(object = "RandomForest")`: ...
weights
  `signature(object = "RandomForest")`: ...

### Examples

        ### honest (i.e., out-of-bag) cross-classification of
        ### true vs. predicted classes
        table(mammoexp$ME, predict(cforest(ME ~ ., data = mammoexp,
                                   control = cforest_control(ntree = 50)),
                                   OOB = TRUE))

[Package party version 0.8-6 Index]