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Comparison of the run-time of each classifier to train a model from the training set and apply it to a test set. Naive Bayes was the fastest, taking less than 15 seconds to learn a model and apply it to the test set. SVM was the slowest when MM or MCSP features were present. KNN was slowest on U and U+BT. More features lead to model learning and applying take more time.
