cv10log: 10-fold cross validation estimation error for the classifier...

Description Usage Arguments Value Author(s) References See Also Examples

Description

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

Usage

1
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 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 repetitions

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

1
2
3
#-----cross validation error for the logistic classifier-------
data(bupa)
cv10log(bupa,5)


Search within the dprep package
Search all R packages, documentation and source code

Questions? Problems? Suggestions? or email at ian@mutexlabs.com.

Please suggest features or report bugs with the GitHub issue tracker.

All documentation is copyright its authors; we didn't write any of that.