Hyperparameter Tuning of Machine Learning Algorithms Using Response Surface Methodology: A Case Study of ANN, SVM, and DBN

Table 6

Analysis of variance of the second fold.

Source	Df	Adj SS	Adj MS	F-value	value
Model	4	0.001418	0.000355	3.56	0.031
Linear	3	0.001043	0.000348	3.49	0.042
HN	1	0.00001	0.00001	0.1	0.754
TC	1	0.000998	0.000998	10.02	0.006
LR	1	0.000035	0.000035	0.35	0.562
Square	1	0.000375	0.000375	3.77	0.071
TC × TC	1	0.000375	0.000375	3.77	0.071
Error	15	0.001494	0.0001
Lack-of-fit	10	0.000947	0.000095	0.87	0.606
Pure error	5	0.000547	0.000109
Total	19	0.002912