Closed ashis2004 closed 1 month ago
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.
Develop a credit risk model using genetic algorithms to optimize the selection of features and parameters for predicting credit defaults.
No response
High
@sanjay-kv sir pls assign it me
Hello @ashis2004! Your issue #333 has been closed. Thank you for your contribution!
Is there an existing issue for this?
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