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Support vector machine output parameters for one-vs-one classification?

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I have done training and testing stage. I used SVM for my 90 different classes and performed one-vs-one and one-vs-all classification. I got the results of pecision, recal and F1 score for both OvO and OvA(also confusion matrix). Now how I have to put these results in my paper? Which is the best way? Either i need curves or plot some graphs.

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Kartikay Sapra
Kartikay Sapra am 3 Okt. 2022
You can use the following in-built functions to compute and plot Confusion Matrix:
%Assuming y is the true label vector, and pred_y is the predicted label vector
>> confusion_mat = confusionmat(y, pred_y)
>> confusionchart(confusion_mat) %to plot the confusion matrix
Refer to:
For other useful plots:

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R2022b

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