Table 7 Lack of fit for the developed models.

From: Prediction of performance and emission features of diesel engine using alumina nanoparticles with neem oil biodiesel based on advanced ML algorithms

Parameter

Model

Train MSE

Test MSE

Train R2

Test R2

Train MAPE

Test MAPE

BSFC

LR

0.0003

0.0010

0.9587

0.8043

3.6825

7.9165

DT

0

0.0006

1

0.8822

0

6.1386

RF

0

0.0002

0.9999

0.9620

0.2148

3.6795

BTE

LR

6.74

10.1520

0.8177

0.5290

7.0243

8.1527

DT

0

5.9991

1

0.7217

0

6.8197

RF

0

0.8798

1

0.9592

0.0033

2.7706

CO

LR

0.45

0.9108

0.5920

0.5489

107.71

114.28

DT

0

0.0358

1

0.9823

0

9.8956

RF

0

0.0351

1

0.9826

0.2071

9.3067

HC

LR

0.703

0.1040

0.9717

0.9972

1.302

0.5109

DT

0

6

1

0.8389

0

4.1744

RF

0

2.2642

1

0.9392

0.0026

2.2773

NOx

LR

781.5

342.0372

0.9425

0.9760

14.37

8.8571

DT

0

349.3750

1

0.9754

0

6.5480

RF

0

346.5180

1

0.9756

0.0006

7.2056

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