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Using Random Forests and Logistic Regression for Performance Prediction of Latin American ADRS and Banks
(Pontificia Universidad Católica del Perú. CENTRUM, 2009)
In the paper, random forests and logistic regressions’ support of financial analysis functions’ predictive tool to forecast corporate performance and rank accounting and corporate variables according to their impact on ...