Table 7.

Classifier hyperparameter values evaluated in our experiments.

Classifier and hyperparameter		Values
Random forest
	Maximum tree depth	2, 4, 8, 16, 32, 64
	Number of trees, n	10, 100, 1000
Support vector machine
	C	0.001, 0.01, 0.1, 1, 10
	Loss function	Hinge, squared hinge
Convolutional neural network
	Filter window sizes	(2, 3, 4), (3, 4, 5), (4, 5, 6)
	Feature maps per filter window size, n	100, 200, 300, 400, 500, 600