Table 8 ANOVA for SRNT and SRCT.

From: Sustainability metrics targeted optimization and electric discharge process modelling by neural networks

SRNT

SRCT

Source

F-value

p-value

Source

F-value

p-value

Model

63.38

< 0.0001

Model

49.71

< 0.0001

IP

115.47

< 0.0001

IP

35.75

< 0.0001

SV

274.86

< 0.0001

SV

202.88

< 0.0001

PON

279.97

< 0.0001

PON

164.78

< 0.0001

CP

4.62

0.0484

CP

0.4948

0.4926

IP×SV

12.83

0.0027

IP×SV

4.21

0.0581

IP×PON

0.1060

0.7492

IP×PON

4.21

0.0581

IP×CP

66.27

< 0.0001

IP×CP

175.36

< 0.0001

SV×PON

0.0000

1.0000

SV×PON

29.26

< 0.0001

SV×CP

51.32

< 0.0001

SV×CP

37.88

< 0.0001

PON×CP

15.27

0.0014

PON×CP

0.8697

0.3658

IP²

5.41

0.0344

IP²

0.5594

0.4661

SV²

0.0529

0.8213

SV²

6.50

0.0222

PON²

43.35

< 0.0001

PON²

5.08

0.0396

CP²

0.0529

0.8213

CP²

16.45

0.0010

Lack of Fit

4.55

0.0541

Lack of Fit

2.03

0.2255

Model Summary

Std. Dev.

0.1535

R²

0.9834

Std. Dev.

0.1340

R²

0.9789

Mean

4.45

Adjusted R²

0.9679

Mean

3.68

Adjusted R²

0.9592

C.V. %

3.45

Predicted R²

0.8885

C.V. %

3.65

Predicted R²

0.8770

Adequacy Precision

37.4301

-

-

Adequacy Precision

36.4149

-

-

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