\HeaderA{synth.tr}{Synthetic Classification Problem}{synth.tr}
\aliasA{synth.te}{synth.tr}{synth.te}
\keyword{datasets}{synth.tr}
\begin{Description}\relax
The \code{synth.tr} data frame has 250 rows and 3 columns.
The \code{synth.te} data frame has 100 rows and 3 columns.
It is intended that \code{synth.tr} be used from training and
\code{synth.te} for testing.
\end{Description}
\begin{Usage}
\begin{verbatim}
synth.tr
synth.te
\end{verbatim}
\end{Usage}
\begin{Format}\relax
These data frames contains the following columns:
\describe{
\item[\code{xs}] x-coordinate

\item[\code{ys}] y-coordinate

\item[\code{yc}] class, coded as 0 or 1.
}
\end{Format}
\begin{Source}\relax
Ripley, B.D. (1994)
Neural networks and related methods for
classification (with discussion).
\emph{Journal of the Royal Statistical Society series B}
\bold{56}, 409--456.


Ripley, B.D. (1996)
\emph{Pattern Recognition and Neural Networks.}
Cambridge: Cambridge University Press.
\end{Source}

