[D] Is it reasonable for this SVM to take 53 seconds on prediction phase? • r/MachineLearning

My nonlinear gaussian kernel SVM with 2 features and 100 training examples trains in under a second but when creating a decision boundary, it takes around 53 seconds on 40,000 test examples for a decision boundary. Is that a reasonable amount of time or should I look for ways to vectorize? Here is the code if anyone wants to run it themselves.