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Table 1.

Summary of PMA datasets used (2019–2022).

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Fig 1.

Data preprocessing flowchart.

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Fig 2.

Distribution of the output variable before and after SMOTE.

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Table 2.

Model configurations and hyperparameters for hyperparameter tuning.

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Fig 3.

Methodological work flow.

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Table 3.

Socio-demographic characteristics of survey respondents.

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Table 4.

Contraceptive knowledge, usage, and exposure to Family Planning (FP) advertising among women.

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Table 5.

Model performance of models on default hyperparameters.

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Fig 4.

ROC Curve results on Default Hyperparameter.

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Fig 5.

Precision-Recall trade-off on Default Hyperparameters.

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Table 6.

Models performance after hyperparameter tuning.

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Fig 6.

ROC Curve Results after Hyperparameter Tuning.

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Fig 7.

Precision-Recall Trade-off after Hyperparameter Tuning.

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Table 7.

Performance metrics of classification models after hyperparameter tuning and SMOTEENN balancing.

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Fig 8.

Precision-Recall curves for various classification models after hyperparameter tuning and SMOTENN balancing.

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Fig 9.

Classification report of the best-performing model (Random Forest).

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Fig 10.

Global Feature Importance via SHAP Values.

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Fig 11.

SHAP Force Plot for Individual Prediction.

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