Description of slcorrectrate_blks

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slcorrectrate_blks

PURPOSE

SLCORRECTRATE_BLKS Computes the correct rate based on blockwise scores

SYNOPSIS

function cr = slcorrectrate_blks(scores, blocks, clabels, qlabels, op, varargin)

DESCRIPTION

SLCORRECTRATE_BLKS Computes the correct rate based on blockwise scores

 $ Syntax $
   - cr = slcorrectrate_blks(scores, blocks, clabels, qlabels, op, ...)

 $ Arguments $
   - scores:       the score matrix
   - blocks:       the cell array of block limits
   - clabels:      the class labels of reference samples
   - qlabels:      the query labels of query samples
   - op:           the score attribute  
   - cr:           the computed classification correct rate

 $ Remarks $
   - An extension of slcorrectrate to support blockwise scores

 $ History $
   - Created by Dahua Lin, on Aug 9th, 2006
   - Modified by Dahua Lin on Aug 16th, 2006
     - Based on new slclassify to support multiple schemes

CROSS-REFERENCE INFORMATION

This function calls:

• raise_lackinput RAISE_LACKINPUT Raises an error indicating lack of input argument
• slclassify_blks SLCLASSIFY_BLKS Classifies samples according to blockwise scores

This function is called by:

SOURCE CODE

0001 function cr = slcorrectrate_blks(scores, blocks, clabels, qlabels, op, varargin)
0002 %SLCORRECTRATE_BLKS Computes the correct rate based on blockwise scores
0003 %
0004 % $ Syntax $
0005 %   - cr = slcorrectrate_blks(scores, blocks, clabels, qlabels, op, ...)
0006 %
0007 % $ Arguments $
0008 %   - scores:       the score matrix
0009 %   - blocks:       the cell array of block limits
0010 %   - clabels:      the class labels of reference samples
0011 %   - qlabels:      the query labels of query samples
0012 %   - op:           the score attribute
0013 %   - cr:           the computed classification correct rate
0014 %
0015 % $ Remarks $
0016 %   - An extension of slcorrectrate to support blockwise scores
0017 %
0018 % $ History $
0019 %   - Created by Dahua Lin, on Aug 9th, 2006
0020 %   - Modified by Dahua Lin on Aug 16th, 2006
0021 %     - Based on new slclassify to support multiple schemes
0022 %
0023 
0024 %% parse and verify input arguments
0025 
0026 if nargin < 5
0027     raise_lackinput('slcorrectrate_blks', 5);
0028 end
0029 
0030 
0031 %% Make decision
0032 
0033 n = length(qlabels);
0034 decisions = slclassify_blks(scores, n, blocks, clabels, op, varargin{:});
0035 
0036 %% Evaluate correct rate
0037 
0038 qlabels = qlabels(:)';
0039 cr = sum(decisions == qlabels) / length(qlabels);
0040 
0041 
0042

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