https://github.com/kmohamedalie/taiwenese-bankruptcy-prediction

Prediction bankruptcy of Taiwanese bank in the years 1999 to 2009.
https://github.com/kmohamedalie/taiwenese-bankruptcy-prediction

banking bankruptcy-prediction classification creditcard finance gradient-boosting machine-learning random-forest snapml

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Prediction bankruptcy of Taiwanese bank in the years 1999 to 2009.

• Host: GitHub
• URL: https://github.com/kmohamedalie/taiwenese-bankruptcy-prediction
• Owner: Kmohamedalie
• License: mit
• Created: 2023-08-14T11:34:31.000Z (over 1 year ago)
• Default Branch: master
• Last Pushed: 2023-08-20T10:53:56.000Z (about 1 year ago)
• Last Synced: 2023-08-20T11:56:02.673Z (about 1 year ago)
• Topics: banking, bankruptcy-prediction, classification, creditcard, finance, gradient-boosting, machine-learning, random-forest, snapml
• Language: Jupyter Notebook
• Homepage: https://github.com/Kmohamedalie/Taiwenese-Bankruptcy-Prediction
• Size: 5.04 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 1
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# Taiwenese  Bankruptcy  Prediction using IBM SnapML

The data were collected from the Taiwan Economic Journal for the years 1999 to 2009. Company bankruptcy 
 was defined based on the business regulations of the Taiwan Stock Exchange.

**Task:** is to predict whether a bank will go bankrupt or not (classical classification Task). 


**Data:** UCI Machine Learning,   Kaggle 


**Complete JupyterNotebook:** [Link](https://github.com/Kmohamedalie/Taiwenese-Bankruptcy-Prediction/blob/master/Notebook/Taiwan%20Bankruptcy%20-%20SnapML(Random%20Forest%20vs%20Boosting%20Machine).ipynb)

**Note:** the dataset is imbalanced and [SMOTE](https://imbalanced-learn.org/stable/references/generated/imblearn.over_sampling.SMOTE.html) wasn't apply.

![image](https://github.com/Kmohamedalie/Taiwenese-Bankruptcy-Prediction/assets/63104472/e9e35778-f316-49f7-a55e-93443d39c9bb)




### **Metrics**

| Algorithm | Precision | Recall | F1-score | Accuracy |

|-----------|-----------|--------|----------|----------|

| Boosting Machine(SnapML)   |  96%    |  97% | 96.18%  | 97%    |




### **Classification report and Confusion matrix:**

![image](https://github.com/Kmohamedalie/Taiwenese-Bankruptcy-Prediction/assets/63104472/8673de7d-d483-4499-b3dc-e1462ffcb5ce)

### **Additional Information about the dataset**

The first attribute is the class lable. 


X1	Cost of Interest-bearing Debt  


X2	Cash Reinvestment Ratio    


X3	Current Ratio   
 

X4	Acid Test      


X5	Interest Expenses/Total Revenue  


For more on the features please follow the link: UCI Machine Learning,   Kaggle