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OOB_Error Class Reference

#include <vigra/random_forest/rf_visitors.hxx>

Inheritance diagram for OOB_Error:
VisitorBase

Public Member Functions

template<class RF, class PR>
void visit_at_end (RF &rf, PR &pr)
 
- Public Member Functions inherited from VisitorBase
double return_val ()
 
template<class Tree, class Split, class Region, class Feature_t, class Label_t>
void visit_after_split (Tree &tree, Split &split, Region &parent, Region &leftChild, Region &rightChild, Feature_t &features, Label_t &labels)
 
template<class RF, class PR, class SM, class ST>
void visit_after_tree (RF &rf, PR &pr, SM &sm, ST &st, int index)
 
template<class RF, class PR>
void visit_at_beginning (RF const &rf, PR const &pr)
 
template<class RF, class PR>
void visit_at_end (RF const &rf, PR const &pr)
 
template<class TR, class IntT, class TopT, class Feat>
void visit_external_node (TR &tr, IntT index, TopT node_t, Feat &features)
 
template<class TR, class IntT, class TopT, class Feat>
void visit_internal_node (TR &, IntT, TopT, Feat &)
 

Public Attributes

double oob_breiman
 

Detailed Description

Visitor that calculates the oob error of the ensemble

This rate serves as a quick estimate for the crossvalidation error rate. Here, each sample is put down the trees for which this sample is OOB, i.e., if sample #1 is OOB for trees 1, 3 and 5, we calculate the output using the ensemble consisting only of trees 1 3 and 5.

Using normal bagged sampling each sample is OOB for approx. 33% of trees. The error rate obtained as such therefore corresponds to a crossvalidation rate obtained using a ensemble containing 33% of the trees.

Member Function Documentation

◆ visit_at_end()

template<class RF, class PR>
void visit_at_end ( RF & rf,
PR & pr )

Normalise variable importance after the number of trees is known.

Member Data Documentation

◆ oob_breiman

double oob_breiman

Ensemble oob error rate


The documentation for this class was generated from the following file:

© Ullrich Köthe (ullrich.koethe@iwr.uni-heidelberg.de)
Heidelberg Collaboratory for Image Processing, University of Heidelberg, Germany

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vigra 1.12.2 (Mon Apr 14 2025)