\HeaderA{Shuttle}{Shuttle Dataset (Statlog version)}{Shuttle}
\keyword{datasets}{Shuttle}
\begin{Description}\relax
The shuttle dataset contains 9 attributes all of which are
numerical with the first one being time.  The last column is the class
with the following 7 levels: Rad.Flow, Fpv.Close, Fpv.Open, High, Bypass,
Bpv.Close, Bpv.Open.

Approximately 80\% of the data belongs to class 1. Therefore the
default accuracy is about 80\%. The aim here is to obtain an
accuracy of 99 - 99.9\%.
\end{Description}
\begin{Usage}
\begin{verbatim}data(Shuttle)\end{verbatim}
\end{Usage}
\begin{Format}\relax
A data frame with 58,000 observations on 9 numerical independent
variables and 1 target class.
\end{Format}
\begin{Source}\relax
\Itemize{
\item Source: Jason Catlett of Basser Department of Computer
Science; University of Sydney; N.S.W.; Australia.
}
These data have been taken from the UCI Repository Of Machine Learning
Databases at
\Itemize{
\item \url{ftp://ftp.ics.uci.edu/pub/machine-learning-databases}
\item \url{http://www.ics.uci.edu/~mlearn/MLRepository.html}
}
and were converted to R format by Evgenia.Dimitriadou@ci.tuwien.ac.at.
\end{Source}

