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Clear extension from prior U.S. work; train/test split before imputation; correlation filtering and VIF checks are described; evaluates Logistic Regression, SVM, and Random Forest across full, top-feature, and PCA representations; final test AUC around 0.777 is reasonable; limitations are thoughtful, especially binary target and cross-sectional design.