Assess fairness w/respect to gender (milestone outline)

[AlexOlza]

• [x] Build separate models for each sex. Expected code modifications:
  • [ ] new experiment, same algorithms. Include new attribute in config file(s?). kwarg gender in getData (if config hasattr...)
• [x] Report the results of current models amongst sex subgroups separately. The code modifications above should suffice.
• [ ]Decide which fairness metrics we want to analyze
• [ ] Inspect the python libraries listed in the article "Algorithmic Fairness in Computational Medicine"
• [ ] If needed, implement fairness metrics in python