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

6 views (last 30 days)
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.

Accepted Answer

Kartikay Sapra
Kartikay Sapra on 3 Oct 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:

More Answers (0)




Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!