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<html><head> <meta HTTP-EQUIV="Content-Type" CONTENT="text/html;charset=ISO-8859-1"> <title>Contents.m</title><link rel="stylesheet" type="text/css" href="../stpr.css"></head><body><table border=0 width="100%" cellpadding=0 cellspacing=0><tr valign="baseline"><td valign="baseline" class="function"><b class="function">CERROR</b><td valign="baseline" align="right" class="function"><a href="../misc/index.html" target="mdsdir"><img border = 0 src="../up.gif"></a></table> <p><b>Computes classification error.</b></p> <hr><div class='code'><code><span class=help></span><br><span class=help> <span class=help_field>Synopsis:</span></span><br><span class=help> error = cerror(ypred,ytrue)</span><br><span class=help> error = cerror(ypred,ytrue,label) </span><br><span class=help></span><br><span class=help> <span class=help_field>Description:</span></span><br><span class=help> error = cerror(ypred,ytrue) returns classification error, i.e.,</span><br><span class=help> error= find(ypred~=ytrue)/length(ytrue).</span><br><span class=help></span><br><span class=help> error = cerror(ypred,ytrue,label) considers only labels</span><br><span class=help> find(ytrue==label), i.e., if ypred, ytrue are from {1,2} then</span><br><span class=help></span><br><span class=help> false_positives_rate = cerror(ypred,ytrue,2)</span><br><span class=help> false_negatives_rate = cerror(ypred,ytrue,1)</span><br><span class=help></span><br><span class=help> <span class=help_field>Input:</span></span><br><span class=help> y1 [1 x n] Vector of integers (response of classifier).</span><br><span class=help> y2 [1 x n] Vector of integers (ground truth).</span><br><span class=help> label [int] Selected label.</span><br><span class=help></span><br><span class=help> <span class=help_field>Output:</span></span><br><span class=help> error [real] Error. </span><br><span class=help></span><br><span class=help> <span class=help_field>Example:</span></span><br><span class=help> classifier = [1,1,1,2]</span><br><span class=help> groundtruth = [2,1,2,1]</span><br><span class=help> error = cerror(classifier,groundtruth)</span><br><span class=help> false_pos = cerror(classifier,groundtruth,2)</span><br><span class=help> false_neg = cerror(classifier,groundtruth,1)</span><br><span class=help></span><br><span class=help> <span class=also_field>See also </span><span class=also></span><br><span class=help><span class=also> <a href = "../misc/roc.html" target="mdsbody">ROC</a></span><br><span class=help><span class=also></span><br></code></div> <hr> <b>Source:</b> <a href= "../misc/list/cerror.html">cerror.m</a> <p><b class="info_field">About: </b> Statistical Pattern Recognition Toolbox<br> (C) 1999-2003, Written by Vojtech Franc and Vaclav Hlavac<br> <a href="http://www.cvut.cz">Czech Technical University Prague</a><br> <a href="http://www.feld.cvut.cz">Faculty of Electrical Engineering</a><br> <a href="http://cmp.felk.cvut.cz">Center for Machine Perception</a><br> <p><b class="info_field">Modifications: </b> <br> 08-aug-2005, VF<br> 09-jun-2004, VF<br> 14-Jan-2003, VF<br></body></html>?? 快捷鍵說明
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