In MATLAB, I need to generate a confusion matrix for the test partition using Bayesian classifier. Can you help me with this and make sure I have done everything previously correctly?

I had loaded 'fisheries' which comes standard in Matlab.

Then I partition the data set. 60% training and 40% test

using the first two classes

species (1:100)

meas (1:100,;)

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load ('fisheriris');

%Partition dataset into 60% training partition and 40% test partition

trainingPartition = (1:60);

testPartition = (61:100);

%Use only the first 100 entries (the first 2 classes)

speciesSet = species(1:100, :);

measSet = meas(1:100, :);

Workspace Name A Value 150x4 double 150x4 double 100x4 double 150x1 cell 100x1 cell 1x40 double 1x60 double ans meas th measSubset species species Subset test training Workspace Name A Value 150x4 double 150x4 double 100x4 double 150x1 cell 100x1 cell 1x40 double 1x60 double ans meas th measSubset species species Subset test training