[Retracted] Performance Analysis of Deep Learning Models for Binary Classification of Cancer Gene Expression Data

Table 4

Architectural parameter setting for 1DCNN.

Dataset	Dense layer size	No. of filters, filter size	Train loss	Validation loss
Colon (ANOVA)	100	32,128	1.21e − 4	8.44
Colon (IG)	40	32,64	1.5e − 8	36.4
Pancreatic (ANOVA)	40	64,200	1.22e − 5	7.5
Pancreatic (IG)	40	64,200	1.11e − 10	6.66
Breast (ANOVA)	50	32,200	7.68e − 10	10.2
Breast (IG)	40	32, 128	0	1.06
Lung (ANOVA)	50	64,200	2.2e − 10	2.55
Lung (IG)	50	64,200	0.34e − 6	1.11