R Graphical Manual

Last data update: 2014.03.03

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R Release (3.2.3)
CranContrib
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predict.obliqueRF (Package: obliqueRF) : predict method for oblique random forest objects

Prediction of test data using oblique random forest.

● Data Source: CranContrib
● Keywords: classif, regression
● Alias: predict.obliqueRF
● 0 images

orfNews (Package: obliqueRF) : Show the NEWS file

Show the NEWS file of the obliqueRF package.

● Data Source: CranContrib
● Keywords: classif
● Alias: orfNews
● 0 images

importance (Package: obliqueRF) : Extract variable importance measure

This is the extractor function for variable importance measures as produced by obliqueRF.

● Data Source: CranContrib
● Keywords: classif, regression, tree
● Alias: importance, importance.default, importance.obliqueRF
● 0 images

obliqueRF (Package: obliqueRF) : Classification with Oblique Random Forest

obliqueRF implements a random forest with oblique decision trees for binary classification tasks. Discriminative node models in the tree are based on: ridge regression, logistic regression, linear support vector machines, or random splits.

● Data Source: CranContrib
● Keywords: classif, tree
● Alias: obliqueRF, obliqueRF.default, print.obliqueRF
● 0 images