preprocessing.json

{
  "num_features": 10,
  "num_classes": 100,
  "col_sex_code": 0,
  "col_total_charges": 8,
  "sex_code_encoding": {
    "0.0": "Male",
    "1.0": "Female"
  },
  "target": "PRINC_SURG_PROC_CODE",
  "note": "10 features (THCIC_ID excluded). Normalized by column max. Labels are procedure codes 0-99.",
  "columns": [
    "SEX_CODE",
    "TYPE_OF_ADMISSION",
    "SOURCE_OF_ADMISSION",
    "LENGTH_OF_STAY",
    "PAT_AGE",
    "PAT_STATUS",
    "RACE",
    "ETHNICITY",
    "TOTAL_CHARGES",
    "ADMITTING_DIAGNOSIS"
  ]
}