Add functionality to evaluate bias in modelling outputs
Task: Adding functionality to model evaluation code to generate 1 or multiple plots to assess if the model predictions are biased (based on a selected list of predictors like age, gender, origin, income, etc.) In order to be compliant with upcoming EU-regulation, it is essential for predictive algorithms to include an analysis of how biased predictions are.
Task Description
This issue will:
- Extend the functionality of model evaluation
- Generate graphs, with a list of variable names as input
- Take into account that the profiling variables can or cannot be used as predictors in the model. I think it is reasonable (for now) to assume they are in the basetable?
Add functionality to evaluate bias in modelling outputs
Task: Adding functionality to model evaluation code to generate 1 or multiple plots to assess if the model predictions are biased (based on a selected list of predictors like age, gender, origin, income, etc.) In order to be compliant with upcoming EU-regulation, it is essential for predictive algorithms to include an analysis of how biased predictions are.
Task Description
This issue will: