I am using classification learner app for modelling data. I came accross two algorithms (using the same number of features) with the following results.
Gaussian Naive Bayes - Accuracy 89.3; AUC 0.78
Fine Gaussian SVM - Accuracy 91.3; AUC 0.75
Which among the two is best. Among the model diagnostics, more weightage should be given to Accuracy or AUC?