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Table 5 Control parameters for XGBoost model for predicting DV

From: A comparative study of machine learning algorithms for predicting domestic violence vulnerability in Liberian women

Parameters

Values

Booster

gbtree

Colsample bylevel

1

Colsample bynode

1

Colsample bytree

0.3

Gamma

0.3

Grow policy

depthwise

Learning rate

0.05

Maximum bin

256

Maximum depth

8

Minimum child weight

7

Number of estimators

100

Random state

0

Regression alpha

0

Regression lambda

1