One-vs-one with SVM in Classification Learner

Hello,

I have tried to use Classification Learner with Quadratic kernel SVM to classify the data that include four classes, Normal, Low, Medium and High. So, If I choose one-vs-one for binary class, I will receive 6 binary classifiers from (k*(k-1))/2.

First question, the pattern of 1 binary classifier will be similar in the equation in the picture, right?. So, 6 classifiers is High-Low, High-Medium, High-Normal, Low-Medium,Low-Normal, and Medium-Normal ,right?

Second question, I would like to know that how one-vs-one of Classification Learner work to predict class from 6 binary classifiers.

Thank you