Table 5.

Accuracy of five classifiers. The test score values represent the performance of the various models. The model with the highest test score is to be considered the best performing.

	Classifier	Train Score	Test Score	Train Time
1	Logistic Regression	0.862069	0.813953	0.046875
2	Naive Bayes	0.816092	0.790698	0.000000
3	Random Forest	1.000000	0.767442	2.093750
4	Linear SVM	0.793103	0.720930	0.000000
5	Decision Tree	1.000000	0.674419	0.000000