I am analysing the results of the multi-class confusion matrix. I am a bit confused about the overall accuracy and average accuracy of each class. In multi-class confusion matrix, is the average accuracy of each class is equal to the accuracy of full confusion matrix?
Please guide me and if you can recommend any book or research article for multi-class confusion matrix analysis. It will be a huge help.
The average accuracy of each class is equal to the accuracy of the full confusion matrix only if the number of instances is identical across classes. If some classes occur more frequently (more data loaded into one column than another) then the two numbers will be different.
https://www.mathworks.com/matlabcentral/answers/333135-what-is-a-confusion-matrix
Matt Falcy Thank you so much. Yes my dataset is balance and I am using macro averaging instead of micro averaging.
Hi
In general cases the two numbers will be different.
I suggest you to take a look at PyCM library and documentation.
Website : https://www.pycm.ir/
Repository : https://github.com/sepandhaghighi
Article PyCM: Multiclass confusion matrix library in Python
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