aggregation.misclass {peperr} | R Documentation |
Determine the missclassification rate for a fitted model
Description
Evaluate the misclassification rate, i.e. prediction error, for a fitted model on new data. To use as argument aggregation.fun
in peperr
call.
Usage
aggregation.misclass(full.data=NULL, response, x, model, cplx=NULL,
type=c("apparent", "noinf"), fullsample.attr = NULL, ...)
Arguments
full.data |
passed from |
response |
vector of binary response. |
x |
|
model |
model fitted with |
cplx |
passed from |
type |
character. |
fullsample.attr |
passed from |
... |
additional arguments, passed to |
Details
Misclassification rate is the ratio of observations for which prediction of response is wrong.
Value
Scalar, indicating the misclassification rate.
[Package peperr version 1.5 Index]