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<table width="100%" summary="page for summary.ada {ada}"><tr><td>summary.ada {ada}</td><td align="right">R Documentation</td></tr></table>
<h2>Summary of model fit for arbitrary data (test, validation, or training)</h2>
<h3>Description</h3>
<p>
<code>summary</code> lists the model information for fitted model and final
confusion matrix.
</p>
<h3>Usage</h3>
<pre>
## S3 method for class 'ada':
summary(object, n.iter=NULL, ...)
</pre>
<h3>Arguments</h3>
<table summary="R argblock">
<tr valign="top"><td><code>object</code></td>
<td>
object generated by 'ada'.</td></tr>
<tr valign="top"><td><code>n.iter</code></td>
<td>
specific iteration to obtain the trainig and testing information at.</td></tr>
<tr valign="top"><td><code>...</code></td>
<td>
other arguments not used by this function.</td></tr>
</table>
<h3>Details</h3>
<p>
<code>summary</code> produces a summary of the original function call, method
used for boosting for a specific iteration, accuracy, and kappa
statistic (a measure of agreement between the observed classification and
predicted classification) for the training data.
</p>
<p>
In addition, if any other data set (i.e. test or validation)
has been incorporated to the <code>ada</code> object (see <code>addtest</code>),
<code>summary</code> produces analogous information.
</p>
<h3>See Also</h3>
<p>
<code><a href="ada.html">ada</a></code>,<code><a href="predict.ada.html">predict.ada</a></code>,
<code><a href="plot.ada.html">plot.ada</a></code>,<code><a href="pairs.ada.html">pairs.ada</a></code>
</p>
<hr><div align="center">[Package <em>ada</em> version 2.0-1 <a href="00Index.html">Index]</a></div>
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