Table 7 ANOVA for MRRNT and MRRCT.

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

MRRNT

MRRCT

Source

F-value

p-value

Source

F-value

p-value

Model

39.92

< 0.0001

Model

43.31

< 0.0001

IP

376.35

< 0.0001

IP

323.38

< 0.0001

SV

16.45

0.0010

SV

11.79

0.0037

PON

88.86

< 0.0001

PON

138.67

< 0.0001

CP

17.16

0.0009

CP

11.84

0.0036

IP×SV

20.32

0.0004

IP×SV

22.18

0.0003

IP×PON

1.43

0.2503

IP×PON

13.68

0.0021

IP×CP

0.1743

0.6822

IP×CP

4.56

0.0497

SV×PON

15.42

0.0013

SV×PON

56.19

< 0.0001

SV×CP

3.36

0.0868

SV×CP

12.16

0.0033

PON×CP

1.08

0.3147

PON×CP

0.0042

0.9489

IP²

0.7618

0.3965

IP²

0.2442

0.6283

SV²

6.71

0.0205

SV²

4.31

0.0555

PON²

4.85

0.0437

PON²

1.17

0.2974

CP²

9.50

0.0076

CP²

9.23

0.0083

Lack of Fit

2.79

0.1344

Lack of Fit

3.85

0.0747

Model Summary

Std. Dev.

0.3533

0.9739

Std. Dev.

0.3068

0.9759

Mean

5.36

Adjusted R²

0.9495

Mean

7.78

Adjusted R²

0.9533

C.V. %

6.59

Predicted R²

0.8443

C.V. %

3.94

Predicted R²

0.8654

Adequacy Precision

26.6473

-

-

Adequacy Precision

29.9327

-

-