\HeaderA{summary}{Summarize classifier evaluation}{summary}
\aliasA{summary,evaloutput-method}{summary}{summary,evaloutput.Rdash.method}
\keyword{multivariate}{summary}
\begin{Description}\relax
This method principally does nothing more than
applying the pre-implemented \code{summary()} function to the slot \code{score}
of an object of class \code{\LinkA{evaloutput}{evaloutput}}. One then obtains the usual
five-point-summary, consisting of minimum and maximum, lower and upper quartile
and the median. Additionally, the mean is also shown.
\end{Description}
\begin{Arguments}
\begin{ldescription}
\item[\code{object}] An object of class \code{\LinkA{evaloutput}{evaloutput}}.
\item[\code{...}] Further arguments passed to the pre-implemented
\code{summary} function.
\end{ldescription}
\end{Arguments}
\begin{Value}
No return.
\end{Value}
\begin{Note}\relax
That the results normally differ for different evaluation
schemes ("iterationwise" or "observationwise").
\end{Note}
\begin{Author}\relax
Martin Slawski \email{martin.slawski@campus.lmu.de}

Anne-Laure Boulesteix \url{http://www.slcmsr.net/boulesteix}
\end{Author}
\begin{SeeAlso}\relax
\code{\LinkA{evaluation}{evaluation}}, \code{\LinkA{compare}{compare}}, \code{\LinkA{obsinfo}{obsinfo}}.
\end{SeeAlso}

