RESEARCH ARTICLE

Imbalanced Data Analysis of Adolescent Unintended Pregnancy and Pre-marital Sex using Univariate and Bivariate Random Forest

The Open Public Health Journal 10 Feb 2023 RESEARCH ARTICLE DOI: 10.2174/18749445-v16-e230111-2022-65

Abstract

Background:

Unintended pregnancy and pre-marital sex are common in adolescents due to the lack of understanding about Adolescent Sexual and Reproductive Health (ASRH), family planning, and/or birth control.

Aims:

The purpose of this study was to classify unintended pregnancy and pre-marital sex among adolescents in East Java to find the factors behind them.

Methods:

The data used in this research included women of childbearing age based on SKAP by BKKBN in 2019. This study employed SMOTE-NC as a method for handling imbalanced data and random forest as a classification method.

Results:

The result of this study showed that the most influential variable was education and domicile for unintended pregnancy and pre-marital sex, respectively.

Conclusion:

The most influential variable in the classification of unintended pregnancy and pre-marital sex was age was education and domicile for unintended pregnancy and pre-marital sex.

Keywords: Unintended pregnancy, Pre-marital sex, Classification, Imbalanced data, Random forest, Education.
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