Table 8 Responses of physical quantities with 21 runs.

From: Machine learning-assisted thermal analysis of propylene glycol nanofluid with dual flux and bioconvection over a Riga plate

  

Coded quantities

  

Outcomes

  

Runs

X

Y

Z

\(Cf_{x}\)

\(Nu_{x}\)

\(Sh_{x}\)

\(Nh_{x}\)

1

1

1

1

-2.0783

-0.2184

-0.0605

0.2335

2

0

1

1

-2.0554

-0.7181

-0.0651

0.3594

3

-1

1

1

-2.0316

-0.5533

-0.0706

0.4829

4

1

0

1

-1.8529

-1.2399

-0.0612

0.1833

5

1

-1

1

-1.6695

-1.3164

-0.0620

0.1274

6

1

1

-1

-1.8993

-1.9648

-0.0592

0.4213

7

1

1

0

-1.9894

-0.6235

-0.0596

0.3274

8

0

0

0

-1.7848

-0.2856

-0.0651

0.3874

9

-1

0

0

-1.7602

-0.0182

-0.0711

0.4909

10

1

0

0

-1.8093

-0.6186

-0.0604

0.2818

11

0

-1

0

-1.6243

-0.3241

-0.0662

0.3417

12

0

1

0

-1.9657

-0.5525

-0.0645

0.3874

13

0

0

-1

-1.6908

-1.7642

-0.0653

0.4600

14

0

0

1

-1.8771

-0.8331

-0.0658

0.3148

15

-1

-1

-1

-1.4751

-1.6124

-0.0704

0.4993

16

0

-1

-1

-1.5012

-1.9588

-0.0663

0.4179

17

1

-1

-1

-1.5272

-2.2831

-0.0611

0.3346

18

-1

0

-1

-1.6656

-1.4261

-0.0715

0.5384

19

-1

1

-1

-1.8505

-1.3194

-0.0706

0.5742

20

-1

-1

0

-1.5734

-0.0725

-0.0699

0.4496

21

-1

-1

1

-1.6695

-0.5392

-0.0700

0.3999