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What is Bankruptcy Prediction with Boosted Trees about?

This paper presents a novel approach to bankruptcy prediction using Extreme Gradient Boosting and synthetic feature generation. The method aims to improve predictive accuracy by combining econometric measures through arithmetic operations to create synthetic features, addressing issues of imbalanced data. The proposed model is evaluated on data from Polish companies, demonstrating its effectiveness compared to traditional methods in predicting financial distress.

Author

hnavast

Language

EN