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首页> 外文期刊>open public health journal >Imbalanced Data Analysis of Adolescent Unintended Pregnancy and Pre-marital Sex using Univariate and Bivariate Random Forest
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Imbalanced Data Analysis of Adolescent Unintended Pregnancy and Pre-marital Sex using Univariate and Bivariate Random Forest

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© 2023 Zain et al.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 themMethods: 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 sexrespectively. 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.

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