% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/getConfMatrix.R
\name{getConfMatrix}
\alias{getConfMatrix}
\title{Confusion matrix.}
\usage{
getConfMatrix(pred, relative = FALSE)
}
\arguments{
\item{pred}{[\code{\link{Prediction}}]\cr
Prediction object.}

\item{relative}{[\code{logical(1)}]\cr
If \code{TRUE} rows are normalized to show relative frequencies.
Default is \code{FALSE}.}
}
\value{
[\code{matrix}]. A confusion matrix.
}
\description{
Calculates confusion matrix for (possibly resampled) prediction.
Rows indicate true classes, columns predicted classes.
}
\examples{
# get confusion matrix after simple manual prediction
allinds = 1:150
train = sample(allinds, 75)
test = setdiff(allinds, train)
mod = train("classif.lda", iris.task, subset = train)
pred = predict(mod, iris.task, subset = test)
print(getConfMatrix(pred))
print(getConfMatrix(pred, relative = TRUE))

# now after cross-validation
r = crossval("classif.lda", iris.task, iters = 2L)
print(getConfMatrix(r$pred))
}
\seealso{
\code{\link{predict.WrappedModel}}
}