dataset_cfg.yaml

categorical_dict:
  binarized_race:
  - White
  - Non-White
  marital_status:
  - ' Never-married'
  - ' Married-civ-spouse'
  - ' Divorced'
  - ' Married-spouse-absent'
  - ' Separated'
  - ' Married-AF-spouse'
  - ' Widowed'
  native_country:
  - ' United-States'
  - ' Cuba'
  - ' Jamaica'
  - ' India'
  - ' Mexico'
  - ' Puerto-Rico'
  - ' Honduras'
  - ' England'
  - ' Canada'
  - ' Germany'
  - ' Iran'
  - ' Philippines'
  - ' Poland'
  - ' Columbia'
  - ' Cambodia'
  - ' Thailand'
  - ' Ecuador'
  - ' Laos'
  - ' Taiwan'
  - ' Haiti'
  - ' Portugal'
  - ' Dominican-Republic'
  - ' El-Salvador'
  - ' France'
  - ' Guatemala'
  - ' Italy'
  - ' China'
  - ' South'
  - ' Japan'
  - ' Yugoslavia'
  - ' Peru'
  - ' Outlying-US(Guam-USVI-etc)'
  - ' Scotland'
  - ' Trinadad&Tobago'
  - ' Greece'
  - ' Nicaragua'
  - ' Vietnam'
  - ' Hong'
  - ' Ireland'
  - ' Hungary'
  - ' Holand-Netherlands'
  occupation:
  - ' Adm-clerical'
  - ' Exec-managerial'
  - ' Handlers-cleaners'
  - ' Prof-specialty'
  - ' Other-service'
  - ' Sales'
  - ' Transport-moving'
  - ' Farming-fishing'
  - ' Machine-op-inspct'
  - ' Tech-support'
  - ' Craft-repair'
  - ' Protective-serv'
  - ' Armed-Forces'
  - ' Priv-house-serv'
  relationship:
  - ' Not-in-family'
  - ' Married'
  - ' Own-child'
  - ' Unmarried'
  - ' Other-relative'
  sex:
  - ' Male'
  - ' Female'
  workclass:
  - ' State-gov'
  - ' Self-emp-not-inc'
  - ' Private'
  - ' Federal-gov'
  - ' Local-gov'
  - ' Self-emp-inc'
  - ' Without-pay'
data_cols:
  categorical:
  - workclass
  - marital_status
  - occupation
  - relationship
  - binarized_race
  - sex
  - native_country
  label: income
  protected:
  - feature: sex
    protected_class: ' Female'
    type: categorical
  - feature: binarized_race
    protected_class: Non-White
    type: categorical
  - feature: age
    protected_class: higher
    protected_threshold: 50
    type: numeric