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]