Fairness for machine learning

2 visualizaciones (últimos 30 días)
Esmeralda Ruiz Pujadas
Esmeralda Ruiz Pujadas el 4 de Nov. de 2022
Comentada: Sudarshan el 8 de Nov. de 2022
Hello everybody,
I detected a general model to be biased by gender and I wanted to demonstrate it with fairness methods the same I did manually by intuition by separating the models by gender. My predictor variables were risk factors such a daily habits, exercise etc but the gender variable was included. And I don´t want to add the gender predictor in my model. But I saw in the manual of matlab that they include the predictors that we want to check for fairness in the model. So my question is should I repeat my models with gender to be able to compute the statistical parity difference by gender? I also want to try by age. So should I include both?
Thank you very much
  1 comentario
Sudarshan el 8 de Nov. de 2022
Could you provide more information on which manual you are referring to? Also, do provide some more details or links about your specific problem.

Iniciar sesión para comentar.

Respuestas (0)


Más información sobre Get Started with Statistics and Machine Learning Toolbox en Help Center y File Exchange.

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by