混淆矩阵的MATLAB实现

混淆矩阵的每一列代表了预测类别，每一列的总数表示预测为该类别的数据的数目；每一行代表了数据的真实归属类别，每一行的数据总数表示该类别的数据实例的数目。在图像精度评价中，主要用于比较分类结果和实际测得值，可以把分类结果的精度显示在一个混淆矩阵里面。

下面是混淆矩阵的Matlab实现示例，可直接复制粘贴运行：

% function confusion_matrix(actual,detected)
% [mat,order] = confusionmat(actual,detected);

mat = rand(5); %# A 5-by-5 matrix of random values from 0 to 1
mat(3,3) = 0; %# To illustrate
mat(5,2) = 0; %# To illustrate
imagesc(mat); %# Create a colored plot of the matrix values
colormap(flipud(gray)); %# Change the colormap to gray (so higher values are
%# black and lower values are white)

title('confusion matrix of recognition');
textStrings = num2str(mat(:),'%0.02f'); %# Create strings from the matrix values
textStrings = strtrim(cellstr(textStrings)); %# Remove any space padding

%% ## New code: ###
%idx = find(strcmp(textStrings(:), '0.00'));
%textStrings(idx) = {' '};
%% ################

[x,y] = meshgrid(1:5); %# Create x and y coordinates for the strings
hStrings = text(x(:),y(:),textStrings(:),... %# Plot the strings
'HorizontalAlignment','center');
% hStrings = text(x,y,textStrings(:),... %# Plot the strings
% 'HorizontalAlignment','center');
midValue = mean(get(gca,'CLim')); %# Get the middle value of the color range
textColors = repmat(mat(:) > midValue,1,3); %# Choose white or black for the
%# text color of the strings so
%# they can be easily seen over
%# the background color
set(hStrings,{'Color'},num2cell(textColors,2)); %# Change the text colors

set(gca,'XTick',1:5,... %# Change the axes tick marks
'XTickLabel',{'Bob','Hyt','Maple','Study','Zm'},... %# and tick labels
'YTick',1:5,...
'YTickLabel',{'Bob','Hyt','Maple','Study','Zm'},...
'TickLength',[0 0]);下面是运行结果：



参考：

MATLAB中的混淆矩阵的实现