With fitcsvm you can train also a one-class svm, but how can I be sure that the trained svm is one-class and not two-class? I tried with
SVMModel = fitcsvm(valuesTraining,targetsTraining,'Standardize',true,... 'KernelFunction','gaussian','OptimizeHyperparameters','auto');
where targetsTraining is a vector of all 1s (since I have only samples coming from one class) amd valuesTraining is the matrix containing the 5-dimensional-features training points. Then I test the model with different data but whith instances of both classes. Performance are bad and I have the feeling that the training has been conducted with two-class svm, and not one-class.