comparison toolboxes/FullBNT-1.0.7/netlab3.3/conffig.m @ 0:e9a9cd732c1e tip

first hg version after svn
author wolffd
date Tue, 10 Feb 2015 15:05:51 +0000
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-1:000000000000 0:e9a9cd732c1e
1 function fh=conffig(y, t)
2 %CONFFIG Display a confusion matrix.
3 %
4 % Description
5 % CONFFIG(Y, T) displays the confusion matrix and classification
6 % performance for the predictions mat{y} compared with the targets T.
7 % The data is assumed to be in a 1-of-N encoding, unless there is just
8 % one column, when it is assumed to be a 2 class problem with a 0-1
9 % encoding. Each row of Y and T corresponds to a single example.
10 %
11 % In the confusion matrix, the rows represent the true classes and the
12 % columns the predicted classes.
13 %
14 % FH = CONFFIG(Y, T) also returns the figure handle FH which can be
15 % used, for instance, to delete the figure when it is no longer needed.
16 %
17 % See also
18 % CONFMAT, DEMTRAIN
19 %
20
21 % Copyright (c) Ian T Nabney (1996-2001)
22
23 [C, rate] = confmat(y, t);
24
25 fh = figure('Name', 'Confusion matrix', ...
26 'NumberTitle', 'off');
27
28 plotmat(C, 'k', 'k', 14);
29 title(['Classification rate: ' num2str(rate(1)) '%'], 'FontSize', 14);