predict.hybridEnsemble: Predict method for hybridEnsemble objects

In hybridEnsemble: Build, Deploy and Evaluate Hybrid Ensembles

Predict method for hybridEnsemble objects

Description

Prediction of new data using a hybridEnsemble model.

Usage

## S3 method for class 'hybridEnsemble'
predict(object, newdata, verbose = FALSE, predict.all = FALSE, ...)

Arguments

object	An object of class hybridEnsemble created by the function hybridEnsemble
newdata	A data frame with the same predictors as in the training data
verbose	TRUE or FALSE. Should information be printed to the screen
predict.all	TRUE or FALSE. Should the predictions of all the members be returned?
...	Not currently used

Value

A list containing the following vectors:

predMEAN	Predictions combined by the simple mean
SB	A label denoting the single best algorithm: RF=Random Forest, LR= Bagged Logistic Regression, AB= AdaBoost, SV=Bagged Support Vector Machines, NN=Bagged Neural Networks, KF=Kernel Factory
predSB	Predictions by the single best
predAUTHORITY	Predictions combined by authority

..and all the combination methods that are requested in the hybridEnsemble function.

Author(s)

Michel Ballings, Dauwe Vercamer, Matthias Bogaert, and Dirk Van den Poel, Maintainer: [e-mail]

References

Ballings, M., Vercamer, D., Bogaert, M., Van den Poel, D.

See Also

hybridEnsemble, CVhybridEnsemble, importance.hybridEnsemble, plot.CVhybridEnsemble, summary.CVhybridEnsemble

Examples

data(Credit)

## Not run: 
hE <-hybridEnsemble(x=Credit[1:100,names(Credit) != 'Response'],
                    y=Credit$Response[1:100],
                    RF.ntree=50,
                    AB.iter=50,
                    NN.size=5,
                    NN.decay=0,
                    SV.gamma = 2^-15,
                    SV.cost = 2^-5,
                    SV.degree=2,
                    SV.kernel='radial')

predictions <- predict(hE, newdata=Credit[1:100,names(Credit) != 'Response'])

## End(Not run)

hybridEnsemble documentation built on April 1, 2023, 12:13 a.m.