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OOB_PerTreeError [Machine Learning] |
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#include <vigra/random_forest/rf_visitors.hxx>
Public Member Functions | |
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_end (RF &rf, PR &pr) |
Public Attributes | |
double | oobError |
After training a tree, all those samples that are OOB for this particular tree are put down the tree and the error estimated. the per tree oob error is the average of the individual error estimates. (oobError = average error of one randomized tree) Note: This is Not the OOB - Error estimate suggested by Breiman (See OOB_Error visitor)
double oobError |
Average error of one randomized decision tree
© Ullrich Köthe (ullrich.koethe@iwr.uni-heidelberg.de) |
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