Bankruptcy Prevention Classification Project
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.
The data file contains 7 columns about 250 rows
The data set includes the following variables:
1.industrial_risk: 0=low risk 0.5=medium risk, 1=high risk.
2.management_risk: 0=low risk, 0.5=medium risk, 1=high risk.
3.financial flexibility: 0=low flexibility, 0.5=medium flexibility, 1=high flexibility.
4.credibility: 0=low credibility, 0.5=medium credibility, 1=high credibility.
5.competitiveness: 0=low competitiveness, 0.5=medium competitiveness, 1=high competitiveness.
6.operating_risk: 0=low risk, 0.5=medium risk, 1=high risk.
7.class: bankruptcy, non-bankruptcy (target variable).
