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Fahim Nasir created a dataset evaluating machine learning models on imbalanced class distributions for bank marketing customer conversion forecasting. The dataset, last updated on 2026-05-15, contains results from a two-stage evaluation framework testing ensemble and deep learning models with five sampling strategies. The framework assesses models across discrimination, calibration, computational cost, and explainability to select suitable model-sampling combinations.
Data is in XLS format, requiring software like Microsoft Excel or a compatible spreadsheet program to open.