Table 2.

Hyper parameter and structure of CNN, and CNN+LSTM models.

Models	Layers	Number	kernel	Bias	Kernel
		of filters/	size	regularizer	regularizer
		units		L1	L1
CNN	Conv1D	100	2	0.4	0.002
	Conv1D	75	2	0.4	0.002
	MaxPooling1D	–	2	–	–
	Flatten	–	–	–	–
	Dense	64	–	–	–
	Dense	1	–	–	–
CNN+LSTM	Conv1D	100	2	–	0.002
	MaxPooling1D	–	2	–	–
	Flatten	–	–	–	–
	LSTM	64	–	0.5	–
	Dropout	0.3	–	–	–
	Dense	1	–	–	–