aggregation.misclass {peperr} | R Documentation |
Evaluate the misclassification rate, i.e. prediction error, for a fitted model on new data. To use as argument aggregation.fun
in peperr
call.
aggregation.misclass(full.data=NULL, response, x, model, cplx=NULL, type=c("apparent", "noinf"), fullsample.attr = NULL, ...)
full.data |
passed from peperr , but not used for calculation of the misclassification rate. |
response |
vector of binary response. |
x |
n*p matrix of covariates. |
model |
model fitted with fit.fun . |
cplx |
passed from peperr , but not necessary for calculation of the misclassification rate. |
type |
character. |
fullsample.attr |
passed from peperr , but not necessary for calculation of the misclassification rate. |
... |
additional arguments, passed to predict function. |
Misclassification rate is the ratio of observations for which prediction of response is wrong.
Scalar, indicating the misclassification rate.