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<table width="100%" summary="page for tuneRF {randomForest}"><tr><td>tuneRF {randomForest}</td><td align="right">R Documentation</td></tr></table>
<h2>Tune randomForest for the optimal mtry parameter</h2>
<h3>Description</h3>
<p>
Starting with the default value of mtry, search for the optimal value
(with respect to Out-of-Bag error estimate) of mtry for randomForest.
</p>
<h3>Usage</h3>
<pre>
tuneRF(x, y, mtryStart, ntreeTry=50, stepFactor=2, improve=0.05,
trace=TRUE, plot=TRUE, doBest=FALSE, ...)
</pre>
<h3>Arguments</h3>
<table summary="R argblock">
<tr valign="top"><td><code>x</code></td>
<td>
matrix or data frame of predictor variables</td></tr>
<tr valign="top"><td><code>y</code></td>
<td>
response vector (factor for classification, numeric for
regression)</td></tr>
<tr valign="top"><td><code>mtryStart</code></td>
<td>
starting value of mtry; default is the same as in
<code><a href="randomForest.html">randomForest</a></code></td></tr>
<tr valign="top"><td><code>ntreeTry</code></td>
<td>
number of trees used at the tuning step</td></tr>
<tr valign="top"><td><code>stepFactor</code></td>
<td>
at each iteration, mtry is inflated (or deflated) by
this value</td></tr>
<tr valign="top"><td><code>improve</code></td>
<td>
the (relative) improvement in OOB error must be by this
much for the search to continue</td></tr>
<tr valign="top"><td><code>trace</code></td>
<td>
whether to print the progress of the search</td></tr>
<tr valign="top"><td><code>plot</code></td>
<td>
whether to plot the OOB error as function of mtry</td></tr>
<tr valign="top"><td><code>doBest</code></td>
<td>
whether to run a forest using the optimal mtry found</td></tr>
<tr valign="top"><td><code>...</code></td>
<td>
options to be given to <code><a href="randomForest.html">randomForest</a></code></td></tr>
</table>
<h3>Value</h3>
<p>
If <code>doBest=FALSE</code> (default), it returns a matrix whose first
column contains the mtry values searched, and the second column the
corresponding OOB error.
<br>
If <code>doBest=TRUE</code>, it returns the <code><a href="randomForest.html">randomForest</a></code>
object produced with the optimal <code>mtry</code>.</p>
<h3>See Also</h3>
<p>
<code><a href="randomForest.html">randomForest</a></code>
</p>
<h3>Examples</h3>
<pre>
data(fgl, package="MASS")
fgl.res <- tuneRF(fgl[,-10], fgl[,10], stepFactor=1.5)
</pre>
<hr><div align="center">[Package <em>randomForest</em> version 4.5-27 <a href="00Index.html">Index]</a></div>
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