cv10log {dprep}R Documentation

10-fold cross validation estimation error for the classifier based on logistic regression

Description

10-fold cross validation estimation of the misclassification error for the classifier based on logistic regression

Usage

cv10log(data, repet,maxwts=2500)

Arguments

data The name of the dataset
repet The number of repetitions
maxwts The maximum number of weights to be estimated. It must be an integer number greater than the number of predictors of the dataset

Value

The mean cross validation error for the classifier based on logistic regression using the number of repetition

Author(s)

Edgar Acuna

References

Ripley, B.D. (1996). Pattern recognition and Neural networks. Cambridge University Press

Venables,W.N., and Ripley, B.D. (2002). Modern Applied Statistics with S. Fourth edition, Springer

See Also

crossval, cv10mlp

Examples

#-----cross validation error for the logistic classifier-------
data(bupa)
cv10log(bupa,5)

[Package dprep version 1.0 Index]