Bankruptcy Prevention

Business Objective:

• This is a classification project, since the variable to predict is binary (bankruptcy or non-bankruptcy).
• The goal here is to model the probability that a business goes bankrupt from different features.

Details :

• The data file contains 7 features about 250 companies including the following variables:
• industrial_risk: 0=low risk, 0.5=medium risk, 1=high risk.
• management_risk: 0=low risk, 0.5=medium risk, 1=high risk.
• financial flexibility: 0=low flexibility, 0.5=medium flexibility, 1=high flexibility.
• credibility: 0=low credibility, 0.5=medium credibility, 1=high credibility.
• competitiveness: 0=low competitiveness, 0.5=medium competitiveness, 1=high competitiveness.
• operating_risk: 0=low risk, 0.5=medium risk, 1=high risk.
• class: bankruptcy, non-bankruptcy (target variable).

Acceptance Criterion is We need to deploy the end results using Flask /Streamlit.etc.