Table 8 General performance for the different ML models for both single and multi-output targets.

From: Stacked ensemble machine learning for porosity and absolute permeability prediction of carbonate rock plugs

 

MR

LR

RG

RF

GB

SMR-ML

SMR-NN

Single-output (porosity)

 R2

0.52

0.52

0.48

0.99

0.99

0.99

0.99

 MAE

0.08

0.08

0.09

0.0003

0.0004

0.0012

0.0015

 C. Time (min)

0.1

0.01

0.001

2.1

9.6

55.6

4.8

Single-output (permeability [mD])

 R2

0.28

0.28

0.25

0.99

0.99

0.99

0.95

 MAE

1.13

1.14

1.20

0.0023

0.0003

0.0002

0.012

 C. Time (min)

0.4

0.05

0.001

2.3

95.7

229.4

4.5

Multi-output (porosity and permeability [mD])

 R2

0.39

0.39

0.39

0.93

0.92

0.93

0.96

 Test_MAE

0.61

0.61

0.61

0.11

0.09

0.11

0.02

 C. Time (min)

0.3

0.6

0.001

0.2

8.5

10.0

12.1