How to find RMSE , MSE and access Training, Testing, Validation Data when using Classification learner for creating Support Vector Machine learning model??

So, My dataset contained 9 predictors (Input) (Over 1200 samples) and 1 Target (2 classes categorical data), and I used Classification Learner to create my SVM Model.

I tested for all SVMs and Find out that Cubic SVM gives 97.8% efficient results for my dataset.

The Model works fine & I can make predictions.

But how to find out RMSE, & MSE ?

Also, How to access the dataset which model for training, testing, validation ? (I need to plot & compare the results)

Should i use fitsvm and write code manually?