cv10mlp {dprep} | R Documentation

## 10-fold cross validation error estimation for the multilayer perceptron classifier

### Description

10-fold cross validation estimation error for the multilayer perceptron classifier.

### Usage

    cv10mlp(data, units, decay = 0, maxwts = 1000, maxit = 100,
    repet)

### Arguments

`data` | The name of the dataset
`units` | The number of units in the hidden layer
`decay` | The decay parameter
`maxwts` | The maximum number of weights to be estimated in the network
`maxit` | The maximum number of iterations
`repet` | The number of repetitions

### Value

Returns the mean cross validation for the multilayer perceptron classifier

### 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`, `cv10log`

### Examples

    #-----cross validation using the MLP classifier---
    data(heartc)
    cv10mlp(heartc,25,decay=0.1,maxwts=1000,maxit=100,repet=5)

[Package dprep version 1.0 Index]