Table 7.

List of CNN hyper-parameters along with search space boundaries.

Hyperparameter Description	Boundaries
Number of convolutional layer ($CL$)	[2, 6]
Number of max-pooling layer ($PL$)	[2, 6]
Number of dense layer ($FL$)	[1, 3]
Number of dropout layers ($DL$)	[1, 3]
Filter size ($FS$)	[2, 7]
Number of filters ($FN$)	[16, 128]
Number of hidden units ($UN$)	[128, 512]
Dropout rate ($DR$)	[0.1, 0.5]
Activation function ($AF$)	[1, 4]
Optimizer ($OF$)	[1, 6]
Learning rate ($LR$)	[0.01, 0.0001]