# How to plot confusion matrix for for multi classes

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Abdulhakim Alezzi 2021 年 3 月 19 日
コメント済み: Abdulhakim Alezzi 2021 年 3 月 22 日
Hi friends,
I have a confusionmatrix as follows:
X=
[ 6 1 0 0
0 6 0 1
0 0 7 1
1 0 0 5 ]
I want to plot the confusion matrix In a 100 % percentage form such (85.0% ), and lable the classes, but i faced some problems.
i used the following code:
A=[6 1 0 0 ;0 6 0 1; 0 0 7 1;1 0 0 5];
M = confusionchart(A)
M.RowSummary = 'row-normalized';
M.ColumnSummary = 'column-normalized';
h = gca;
h.XTickLabel = {' A',' B',' C','D', ''};
h.YTickLabel = {' A',' B',' C','D',''};
I want to have the same with plot below.
Any help will be highly appreciated

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### 採用された回答

Srivardhan Gadila 2021 年 3 月 22 日
The above confusion matrix chart can only be obtained using the function plotconfusion(targets,outputs) which requires true labels targets and predicted labels outputs, specified as categorical vectors, or in one-of-N (one-hot) form.
Since you have confusion matrix already, you cannot use the above function and can only use confusionchart function.
If you are looking only for the percentages to have in the chart then you can use the Normalization Name-Value Pair argument and set it to 'total-normalized' or 'row-normalized' or 'column-normalized'.
A=[6 1 0 0 ;0 6 0 1; 0 0 7 1;1 0 0 5];
M = confusionchart(A,{' A',' B',' C','D'},'Normalization','total-normalized')
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Abdulhakim Alezzi 2021 年 3 月 22 日
Thank you very much. It works.

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R2021a

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