Integrating Data into Machine Learning Models for Better Bankruptcy Prediction

Rajani, B.; Usha, R.; Navya, Nambi; Thanuja, Sadhama; Tarun, P; Poojitha, Sannithi

Integrating Data into Machine Learning Models for Better Bankruptcy Prediction

Rajani, B. and Usha, R. and Navya, Nambi and Thanuja, Sadhama and Tarun, P and Poojitha, Sannithi (2025) Integrating Data into Machine Learning Models for Better Bankruptcy Prediction. In: Proceedings of the 4th International Conference on Information Technology, Civil Innovation, Science, and Management, ICITSM 2025, 28-29 April 2025, Tiruchengode, Tamil Nadu, India, Part II.

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Abstract

Bankruptcy prediction is important for financial health and risk control. We have improved the prediction accuracy using a hybrid of machine learning techniques AdaBoost and CatBoost on imbalanced Polish data set. The class imbalance and the noisy features along with the relatively insufficient bank

Item Type:	Conference or Workshop Item (UNSPECIFIED)
Date Deposited:	04 Mar 2026 20:20
Last Modified:	16 Apr 2026 15:50
URI:	http://eprints.eai.eu/id/eprint/60238

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