gensemble-class: Class '"gensemble"'

In gensemble: Generalized Ensemble Methods

Description

The gensemble class is returned by a call to gensemble. It should be passed to predict.gensemble for prediction.

Details on the slots are provided below, but in general it should be treated as an opaque data structure.

Slots

abm:

The AbstractModel-class object used to build the model

dclass:

logical TRUE when classification was performed

nlev:

For classification, a numeric indicating how many levels were detected

ylevels:

For classification, a vector containing the levels

mods:

The list of models built

nmods:

numeric indication the number of models built

bagmat:

A matrix containing which samples were used in which iteration of model building

oobpred:

The aggregated OOB predictions for all iterations

oobpredmat:

A matrix of per iteration OOB predictions

accmat:

A matrix tracking per iteraction accuracy

test_oobpred:

The aggregated OOB predictions of the test set

test_oobpredmat:

A matrix for the test set equivalent to oobpredmat

test_accmat:

A matrix for the test set equivalent to accmat

Note

The test_* items will only make sense if a test set was provided to the call to gensemble.

Author(s)

Peter Werner and Eugene Dubossarsky [e-mail]

See Also

gensemble, predict.gensemble

gensemble documentation built on May 2, 2019, 1:02 p.m.