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first hg version after svn
author | wolffd |
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date | Tue, 10 Feb 2015 15:05:51 +0000 |
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wolffd@0 | 1 <html> |
wolffd@0 | 2 <head> |
wolffd@0 | 3 <title> |
wolffd@0 | 4 Netlab Reference Manual conffig |
wolffd@0 | 5 </title> |
wolffd@0 | 6 </head> |
wolffd@0 | 7 <body> |
wolffd@0 | 8 <H1> conffig |
wolffd@0 | 9 </H1> |
wolffd@0 | 10 <h2> |
wolffd@0 | 11 Purpose |
wolffd@0 | 12 </h2> |
wolffd@0 | 13 Display a confusion matrix. |
wolffd@0 | 14 |
wolffd@0 | 15 <p><h2> |
wolffd@0 | 16 Synopsis |
wolffd@0 | 17 </h2> |
wolffd@0 | 18 <PRE> |
wolffd@0 | 19 conffig(y, t) |
wolffd@0 | 20 fh = conffig(y, t)</PRE> |
wolffd@0 | 21 |
wolffd@0 | 22 |
wolffd@0 | 23 <p><h2> |
wolffd@0 | 24 Description |
wolffd@0 | 25 </h2> |
wolffd@0 | 26 <CODE>conffig(y, t)</CODE> displays the confusion matrix |
wolffd@0 | 27 and classification performance for the predictions mat{y} |
wolffd@0 | 28 compared with the targets <CODE>t</CODE>. The data is assumed to be in a |
wolffd@0 | 29 1-of-N encoding, unless there is just one column, when it is assumed to |
wolffd@0 | 30 be a 2 class problem with a 0-1 encoding. Each row of <CODE>y</CODE> and <CODE>t</CODE> |
wolffd@0 | 31 corresponds to a single example. |
wolffd@0 | 32 |
wolffd@0 | 33 <p>In the confusion matrix, the rows represent the true classes and the |
wolffd@0 | 34 columns the predicted classes. |
wolffd@0 | 35 |
wolffd@0 | 36 <p><CODE>fh = conffig(y, t)</CODE> also returns the figure handle <CODE>fh</CODE> which |
wolffd@0 | 37 can be used, for instance, to delete the figure when it is no longer needed. |
wolffd@0 | 38 |
wolffd@0 | 39 <p><h2> |
wolffd@0 | 40 See Also |
wolffd@0 | 41 </h2> |
wolffd@0 | 42 <CODE><a href="confmat.htm">confmat</a></CODE>, <CODE><a href="demtrain.htm">demtrain</a></CODE><hr> |
wolffd@0 | 43 <b>Pages:</b> |
wolffd@0 | 44 <a href="index.htm">Index</a> |
wolffd@0 | 45 <hr> |
wolffd@0 | 46 <p>Copyright (c) Ian T Nabney (1996-9) |
wolffd@0 | 47 |
wolffd@0 | 48 |
wolffd@0 | 49 </body> |
wolffd@0 | 50 </html> |