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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.

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yessasvini23/Bankcruptcy_prevention-Project-

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Bankruptcy-Prevention-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).

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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.

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