Table 6 Control parameters employed in development and application of soft computing techniques.

From: Enhanced machine learning—ensemble method for estimation of oil formation volume factor at reservoir conditions

 

Parameters

Value

GradientBoosting

n-Estimators

120

Max depth

5

Learning rate

0.10

Subsample

1

Alpha

0.90

Min samples split

2

XGBoost

n-Estimators

94

Max depth

9

Learning rate

0.08

Subsample

0.75

Gamma

0

Col sample by tree

1

CatBoost

Depth

7

Learning rate

0.07

Iterations

300

Best model min trees

1

Bootstrap type

MVS

Leaf estimation method

Newton

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