A Comparative Analysis of Machine Learning Methods to Predict Bankruptcy among Manufacturing Companies in India Post-IBC

The main purpose of this paper is to study the impact of financial variables on the bankruptcy prediction of Indian manufacturing companies by performing a comparative analysis between various machine learning predictive techniques. 15 financial variables are selected for the prediction of bankruptcy after the implication of the Insolvency and Bankruptcy Code (IBC) 2016. For comparative analysis, machine learning predictive techniques used in this paper are Logistic Regression, Artificial Neural Networks, Decision Tree, and Random Forest.