models/attribute/texas_tabpfn_regularized/preprocessing.json

{
  "dataset": "texas",
  "num_features": 10,
  "num_classes": 10,
  "feature_names": [
    "feature_0",
    "feature_1",
    "feature_2",
    "feature_3",
    "feature_4",
    "feature_5",
    "feature_6",
    "feature_7",
    "feature_8",
    "feature_9"
  ],
  "scaler_mean": [
    0.6983,
    0.1864600027218461,
    0.2879666705809534,
    0.001324323509496753,
    0.6103190593261272,
    0.0722217383440584,
    0.754775,
    0.6887,
    0.001291268535031486,
    0.5648009803746594
  ],
  "scaler_std": [
    0.4589957625076644,
    0.18630262837940662,
    0.2707053277170841,
    0.0015304302065645866,
    0.2091007700213515,
    0.17929839372947404,
    0.1748097519448018,
    0.46302517210192373,
    0.0013112681490968178,
    0.268848928786817
  ],
  "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": 0.69735
    },
    "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": 0.6213
    }
  }
}