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Table 7 Parameters for CatBoost model for predicting DV

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

Parameters

Status

Iterations

15,000

Loss function

Logloss

Depth

8

Evaluation metric

AUC

Learning rate

0.03

Border count

32

Validation type

K-fold

Number of validations

10

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BMC Women's Health

ISSN: 1472-6874

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