[Feature Request]: Credit Risk Modeling Using Genetic Algorithms

[ashis2004]

Is there an existing issue for this?

• I have searched the existing issues

Feature Description

Data Collection

Collect historical credit data including features and default outcomes.
Initialize Population

Create an initial population of random feature sets and model parameters.
Fitness Function

Define a fitness function to evaluate model performance based on accuracy, precision, recall, or AUC-ROC.
Selection, Crossover, Mutation

Implement genetic algorithm operations.
Iterate and Evaluate

Iterate through generations to find the best model.

Use Case

Develop a credit risk model using genetic algorithms to optimize the selection of features and parameters for predicting credit defaults.

Benefits

No response

Priority

High

Record

• I agree to follow this project's Code of Conduct
• I'm a GSSOC contributor
• I want to work on this issue
• I'm willing to provide further clarification or assistance if needed.

[ashis2004]

@sanjay-kv sir pls assign it me

[github-actions]

Hello @ashis2004! Your issue #333 has been closed. Thank you for your contribution!