models/attribute/folktables_mlp_regularized/preprocessing.json

{
  "feature_names": [
    "RAC1P_label_Asian",
    "RAC1P_label_Black",
    "RAC1P_label_Mixed",
    "RAC1P_label_Native",
    "RAC1P_label_Other",
    "RAC1P_label_Pacific",
    "RAC1P_label_White",
    "SEX_label_Female",
    "SEX_label_Male",
    "AGEP",
    "COW",
    "SCHL",
    "MAR",
    "OCCP",
    "POBP",
    "RELP",
    "WKHP",
    "SEX",
    "RAC1P"
  ],
  "categorical_cols": [
    "RAC1P_label",
    "SEX_label"
  ],
  "categorical_encodings": {
    "RAC1P_label": [
      "Asian",
      "Black",
      "Mixed",
      "Native",
      "Other",
      "Pacific",
      "White"
    ],
    "SEX_label": [
      "Female",
      "Male"
    ]
  },
  "numeric_cols": [
    "AGEP",
    "COW",
    "SCHL",
    "MAR",
    "OCCP",
    "POBP",
    "RELP",
    "WKHP",
    "SEX",
    "RAC1P"
  ],
  "normalization_mean": [
    42.7349142667314,
    2.1440829990033987,
    18.470308946413514,
    2.6543428819666266,
    4020.5828226816243,
    94.39567628344363,
    2.5104029846932256,
    37.86666496307464,
    1.4720006132931285,
    3.0726752357345464
  ],
  "normalization_std": [
    14.88458421591763,
    1.8878206681185523,
    3.942452516759404,
    1.8463770694817296,
    2637.1728979885447,
    123.50701150623996,
    4.445338662591754,
    13.019013401531563,
    0.49921541877634257,
    2.915495281123644
  ],
  "target_col": "INCOME",
  "target_classes": [
    0,
    1
  ],
  "num_classes": 2,
  "num_features": 19,
  "dataset": "folktables"
}