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Netlab Reference Manual confmat
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<H1> confmat
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<h2>
Purpose
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Compute a confusion matrix.

<p><h2>
Synopsis
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<PRE>
[C, rate] = confmat(y, t)</PRE>


<p><h2>
Description
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<CODE>[C, rate] = confmat(y, t)</CODE> computes the confusion matrix <CODE>C</CODE>
and classification performance <CODE>rate</CODE> for the predictions mat{y}
compared with the targets <CODE>t</CODE>.  The data is assumed to be in a
1-of-N encoding, unless there is just one column, when it is assumed to
be 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.  The vector <CODE>rate</CODE> has two entries:
the percentage of correct classifications and the total number of
correct classifications.

<p><h2>
See Also
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<CODE><a href="conffig.htm">conffig</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)


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author	wolffd
date	Tue, 10 Feb 2015 15:05:51 +0000
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