Table 9 Comparing proposed EL models to those in the literature.

From: Predicting workability and mechanical properties of bentonite plastic concrete using hybrid ensemble learning

Model

Year

Ref

Inputs No.

No. of Data

R 2

RMSE

MAE

Train

Test

Train

Test

Train

Test

Slump (cm)

ANN

2019

Tavana Amlashi et al.20

6

158

0.963

0.935

0.961

1.168

0.668

0.772

MARS

2019

Tavana Amlashi et al.20

6

158

0.832

0.761

2.040

2.381

1.516

1.665

M5Tree

2019

Tavana Amlashi et al.20

6

158

0.893

0.858

1.814

1.803

1.422

1.273

ADB-FBIO

2024

This Study

6

158

0.999

0.962

0.082

1.126

0.013

0.747

GBRT-FBIO

2024

This Study

6

158

0.991

0.966

0.399

1.147

0.291

0.835

XGB-FBIO

2024

This Study

6

158

0.999

0.966

0.099

1.076

0.065

0.797

RF-FBIO

2024

This Study

6

158

0.968

0.943

0.846

1.607

0.518

1.149

TS (MPa)

SVM

2020

Tavana Amlashi et al.27

8

107

0.999

0.968

0.003

0.048

-

-

ANN

2020

Tavana Amlashi et al.27

8

107

0.999

0.936

0.003

0.052

-

-

ANFIS

2020

Tavana Amlashi et al.27

8

107

0.959

0.932

0.033

0.057

-

-

ADB-FBIO

2024

This Study

7

115

0.983

0.968

0.040

0.053

0.028

0.043

GBRT-FBIO

2024

This Study

7

115

0.996

0.974

0.016

0.049

0.011

0.039

XGB-FBIO

2024

This Study

7

115

0.999

0.977

0.003

0.041

0.0008

0.03

RF-FBIO

2024

This Study

7

115

0.964

0.949

0.065

0.069

0.044

0.052

E (GPa)

ANN

2019

Tavana Amlashi et al.20

7

119

0.964

0.918

0.280

0.472

0.229

0.293

MARS

2019

Tavana Amlashi et al.20

7

119

0.755

0.629

0.735

0.998

0.487

0.677

M5Tree

2019

Tavana Amlashi et al.20

7

119

0.753

0.803

0.769

0.765

0.486

0.510

ADB-FBIO

2024

This Study

7

119

0.985

0.914

0.177

0.484

0.119

0.340

GBRT-FBIO

2024

This Study

7

119

0.999

0.972

0.035

0.278

0.022

0.225

XGB-FBIO

2024

This Study

7

119

0.999

0.931

0.029

0.442

0.023

0.276

RF-FBIO

2024

This Study

7

119

0.941

0.870

0.363

0.605

0.212

0.400