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Machine learning classification of credit scores for financial decision support, using R with Random Forest, SVM, and Neural Network models. Features include data preprocessing, EDA, and cross-validation, with Random Forest yielding the highest accuracy.

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"# Classification-of-Credit-Score" "# Credit-Classification" Eren Duralı Statistics Student at Middle East Technical University

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Machine learning classification of credit scores for financial decision support, using R with Random Forest, SVM, and Neural Network models. Features include data preprocessing, EDA, and cross-validation, with Random Forest yielding the highest accuracy.

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