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

Table 3

Architectural parameter setting for MLP.

Dataset	No. of layers	No. of hidden units	Train loss	Validation loss
Colon (ANOVA)	5	500, 200,100,50,20	1.15e − 6	20.4
Colon (IG)	6	5000,3000,2000,1000,500,100	6.3e − 5	34
Pancreatic (ANOVA)	5	5000,3000,1000,500,100	1.37e − 7	0
Pancreatic (IG)	6	5000,3000,2000,1000, 500, 200	4.04e − 4	4.09e-4
Breast (ANOVA)	5	3000,2000,1000,500,100	0	7.78
Breast (IG)	5	2000,1000,500,200,50	1.17e − 6	20.62
Lung (ANOVA)	5	5000,3000,2000,1000,500	1.37e − 7	0
Lung (IG)	5	5000,3000,2000,1000,500	1.2e − 5	5.4