LeHongNgoc3820 / Project_Company_Bankruptcy_Prediction

Application of Machine Learning models to predict Company Bankruptcy

Application of Machine Learning models to predict Company Bankruptcy (auc = 97.21%)

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Detail: Here

Conclusions:

• The topic uses Machine Learning models to come up with the best model to predict Company Bankruptcy.
• The best model given is Logistic Regression Model.
• Accuracy of model is 97.21%.
• Top 10 Features that have a big impact on Bankruptcy include:
  • Continuous interest rate (after tax),
  • Persistent EPS in the Last Four Seasons
  • Per Share Net profit before tax (Yuan ¥)
  • Debt ratio %
  • Net worth/Assets
  • Borrowing dependency
  • Net profit before tax/Paid-in capital
  • Net Income to Total Assets
  • Net Income to Stockholder's Equity
  • Equity to Liability

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You can contact with me on:

• Gmail: [e-mail]
• GitHub: LeHongNgoc3820
• Linkedln: Ngoc Le Hong

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Make by Lucas,