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<table width="100%" summary="page for synth.tr"><tr><td>synth.tr</td><td align="right">R Documentation</td></tr></table>

<h2>
Synthetic Classification Problem
</h2>

<h3>Description</h3>


<p>The <code>synth.tr</code> data frame has 250 rows and 3 columns.
The <code>synth.te</code> data frame has 100 rows and 3 columns.
It is intended that <code>synth.tr</code> be used from training and
<code>synth.te</code> for testing.
</p>


<h3>Usage</h3>

<pre>
synth.tr
synth.te
</pre>


<h3>Format</h3>


<p>These data frames contains the following columns:
</p>

<dl>
<dt><code>xs</code></dt><dd>
<p>x-coordinate
</p>
</dd>
<dt><code>ys</code></dt><dd>
<p>y-coordinate
</p>
</dd>
<dt><code>yc</code></dt><dd>
<p>class, coded as 0 or 1.
</p>
</dd></dl>


<h3>Source</h3>


<p>Ripley, B.D. (1994)
Neural networks and related methods for
classification (with discussion).
<EM>Journal of the Royal Statistical Society series B</EM>
<B>56</B>, 409&ndash;456.
</p>
<p>Ripley, B.D. (1996)
<EM>Pattern Recognition and Neural Networks.</EM>
Cambridge: Cambridge University Press.
</p>


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