Can someone please guide me how to classify the poker hand dataset using SVM classifier?

I am trying to find which classification model works the best for poker hand dataset, I have tried Naive Baysian decision theory, KNN and now want to try SVM using the fitcsvm function. SVM is a binary classification model and the poker hand dataset has 10 classes with 10 attributes. I need some help on getting the maximum accuracy for this dataset using SVM.