Abhishek Karan1 and Preetham Kumar2
1Department of Information & Communications Technology, Manipal Institute of Technology, Manipal University, Manipal, Karnataka, India 2Professor & Head Department of Information & Communications Technology, Manipal Institute of Technology, Manipal University, Manipal, Karnataka, India
This paper is written for predicting Bankruptcy using different Machine Learning Algorithms. Whether the company will go bankrupt or not is one of the most challenging and toughest question to answer in the 21st Century. Bankruptcy is defined as the final stage of failure for a firm. A company declares that it has gone bankrupt when at that present moment it does not have enough funds to pay the creditors. It is a global problem. This paper provides a unique methodology to classify companies as bankrupt or healthy by applying predictive analytics. The prediction model stated in this paper yields better accuracy with standard parameters used for bankruptcy prediction than previously applied prediction methodologies
Machine Learning, Classification, Regression, Correlation, Error Matrix, ROC
