I am using machine learning classfier to predict my test accuracy. The classfier uses hold out to take data in random. How to I get the train accuracy using the code?

%% -------------- Building Classifier ----------------------------
classification_model=fitcnb(data,'class_labels~PC1+PC2');
%% -------------- Test and Train sets ----------------------------
cv=cvpartition(classification_model.NumObservations,'HoldOut', 0.3);
cross_validated_model=crossval(classification_model,'cvpartition',cv);
%% -------------- Making Predictions for Test sets ---------------
predictions=predict(cross_validated_model.Trained{1},data(test(cv),1:end-1));
%% -------------- Analyzing the predictions ---------------------
results=confusionmat(cross_validated_model.Y(test(cv)),predictions)