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Diffstat (limited to 'sourcecodes/bnt-master/netlab3.3/conffig.m')
| -rw-r--r-- | sourcecodes/bnt-master/netlab3.3/conffig.m | 29 |
1 files changed, 29 insertions, 0 deletions
diff --git a/sourcecodes/bnt-master/netlab3.3/conffig.m b/sourcecodes/bnt-master/netlab3.3/conffig.m new file mode 100644 index 00000000..23d774e0 --- /dev/null +++ b/sourcecodes/bnt-master/netlab3.3/conffig.m @@ -0,0 +1,29 @@ +function fh=conffig(y, t) +%CONFFIG Display a confusion matrix. +% +% Description +% CONFFIG(Y, T) displays the confusion matrix and classification +% performance for the predictions mat{y} compared with the targets T. +% 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 Y and T corresponds to a single example. +% +% In the confusion matrix, the rows represent the true classes and the +% columns the predicted classes. +% +% FH = CONFFIG(Y, T) also returns the figure handle FH which can be +% used, for instance, to delete the figure when it is no longer needed. +% +% See also +% CONFMAT, DEMTRAIN +% + +% Copyright (c) Ian T Nabney (1996-2001) + +[C, rate] = confmat(y, t); + +fh = figure('Name', 'Confusion matrix', ... + 'NumberTitle', 'off'); + +plotmat(C, 'k', 'k', 14); +title(['Classification rate: ' num2str(rate(1)) '%'], 'FontSize', 14); |
