Want to confirm that how to mainly train and predict class from new testing features

Hi, I am working on supervised training and testing. There are few changes in previous commands. I want to be assured that is it ok to use following pair of commands to train and predict the model for different classifier?

For Naive Bayes:

Mdl = fitcnb(Training,Group)

Class = predict(Mdl,Sample);

For kNN:

Mdl = fitcknn(Training,Group,'NumNeighbors',k);

Class = predict(Mdl,Sample);

For LDA:

Mdl = fitcdiscr(Training,Group);

Class = predict(Mdl,Sample);

For SVM:

Mdl = fitcecoc(Training,Group)

Class = predict(Mdl,Sample);

and so on...

Is it OK to use these syntax for training a model and then predict class for unknown Sample? And then comapre Class with trueclass for calculating classification accuracy?

Kindly provide me easiest way to train and test a model..