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<html><head><title>Netlab Reference Manual conffig</title></head><body><H1> conffig</H1><h2>Purpose</h2>Display a confusion matrix.<p><h2>Synopsis</h2><PRE>conffig(y, t)fh = conffig(y, t)</PRE><p><h2>Description</h2><CODE>conffig(y, t)</CODE> displays the confusion matrix and classification performance for the predictions mat{y}compared with the targets <CODE>t</CODE>. The data is assumed to be in a1-of-N encoding, unless there is just one column, when it is assumed tobe a 2 class problem with a 0-1 encoding. Each row of <CODE>y</CODE> and <CODE>t</CODE>corresponds to a single example.<p>In the confusion matrix, the rows represent the true classes and the columns the predicted classes.<p><CODE>fh = conffig(y, t)</CODE> also returns the figure handle <CODE>fh</CODE> which can be used, for instance, to delete the figure when it is no longer needed.<p><h2>See Also</h2><CODE><a href="confmat.htm">confmat</a></CODE>, <CODE><a href="demtrain.htm">demtrain</a></CODE><hr><b>Pages:</b><a href="index.htm">Index</a><hr><p>Copyright (c) Ian T Nabney (1996-9)</body></html>⌨️ 快捷键说明
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