Financial failure prediction in central public sector enterprises using machine learning techniques

Key Points

• The research aims to predict financial failure in central public sector enterprises using machine learning methods.
• Employs various machine learning algorithms to analyze financial data.
• Focuses on central public sector enterprises as the population of interest.
• Utilizes historical financial metrics to train prediction models.
• Machine learning techniques effectively identify financial failure risk.
• Accurate predictions lead to timely interventions to prevent financial collapse.