models/attribute/texas_realmlp_regularized/preprocessing.json

{
  "dataset": "texas",
  "num_features": 10,
  "num_classes": 100,
  "feature_names": [
    "feature_0",
    "feature_1",
    "feature_2",
    "feature_3",
    "feature_4",
    "feature_5",
    "feature_6",
    "feature_7",
    "feature_8",
    "feature_9"
  ],
  "scaler_mean": [
    0.6235625,
    0.1819625026581188,
    0.29431389290460697,
    0.001686894455013559,
    0.6293619168028546,
    0.10203188300980255,
    0.7538072916666667,
    0.7232208333333333,
    0.0017213377656939027,
    0.5263323124732534
  ],
  "scaler_std": [
    0.4844918044639579,
    0.1909829388248965,
    0.2724347547346583,
    0.0023528847822812306,
    0.22313411863280122,
    0.21647561006369542,
    0.16634500527595186,
    0.4474063696089045,
    0.0024982911504669125,
    0.28213000662683047
  ],
  "attribute_info": {
    "sex": {
      "col_index": 0,
      "possible_values": [
        "Male",
        "Female"
      ],
      "val_to_label": {
        "0.0": "Male",
        "1.0": "Female"
      },
      "label_to_val": {
        "Male": 0.0,
        "Female": 1.0
      },
      "base_rate": 0.62391
    },
    "race": {
      "col_index": 6,
      "possible_values": [
        "0.0",
        "0.25",
        "0.5",
        "0.75",
        "1.0"
      ],
      "val_to_label": {
        "0.0": "0.0",
        "0.25": "0.25",
        "0.5": "0.5",
        "0.75": "0.75",
        "1.0": "1.0"
      },
      "label_to_val": {
        "0.0": 0.0,
        "0.25": 0.25,
        "0.5": 0.5,
        "0.75": 0.75,
        "1.0": 1.0
      },
      "base_rate": 0.6543266666666666
    }
  }
}