{
  "counts": {
    "dropped_feature_count": 0,
    "n_features": 7,
    "original_columns": 8,
    "original_rows": 26969,
    "rows_after_target_cleanup": 26969,
    "selected_rows": 2000,
    "strata_count": 120,
    "test_rows": 1000,
    "train_rows": 1000
  },
  "created_at": "2026-06-21T07:58:40+00:00",
  "dataset_hash": "019611a3bea588ee",
  "dropped_feature_columns": [],
  "feature_columns": [
    "Airline",
    "Flight",
    "AirportFrom",
    "AirportTo",
    "DayOfWeek",
    "Time",
    "Length"
  ],
  "feature_encodings": {
    "Airline": {
      "impute_value": 9.0,
      "kind": "numeric"
    },
    "AirportFrom": {
      "impute_value": 65.0,
      "kind": "numeric"
    },
    "AirportTo": {
      "impute_value": 24.0,
      "kind": "numeric"
    },
    "DayOfWeek": {
      "impute_value": 4.0,
      "kind": "numeric"
    },
    "Flight": {
      "impute_value": 1825.0,
      "kind": "numeric"
    },
    "Length": {
      "impute_value": 115.0,
      "kind": "numeric"
    },
    "Time": {
      "impute_value": 800.0,
      "kind": "numeric"
    }
  },
  "feature_scaling": {
    "constant_columns": [],
    "max": [
      17.0,
      7812.0,
      282.0,
      284.0,
      7.0,
      1439.0,
      655.0
    ],
    "method": "minmax over cleaned source rows before sampling",
    "min": [
      0.0,
      1.0,
      0.0,
      0.0,
      1.0,
      15.0,
      25.0
    ],
    "range": [
      0.0,
      1.0
    ]
  },
  "hash_algorithm": "sha256:first16",
  "headers_removed_from_csv": true,
  "n_features": 7,
  "original_headers": [
    "Airline",
    "Flight",
    "AirportFrom",
    "AirportTo",
    "DayOfWeek",
    "Time",
    "Length",
    "target"
  ],
  "output_headers": [
    "Airline",
    "Flight",
    "AirportFrom",
    "AirportTo",
    "DayOfWeek",
    "Time",
    "Length",
    "target"
  ],
  "sampling": {
    "method": "quota stratified by target distribution plus high-variance feature quantile bins",
    "minimum_test_to_train_ratio_when_small": 0.2,
    "seed": 10696366,
    "test_target_rows": 1000,
    "train_target_rows": 1000
  },
  "sha256": "019611a3bea588eed3fc1c324019a3b2d71455f28d9a19c061547f28112b5c2f",
  "source_file": "airlines.csv",
  "source_modified_at": "2026-06-20T09:43:06+00:00",
  "source_path": "/home/ubuntu/hyper/data/tabular/airlines.csv",
  "source_size_bytes": 1106035,
  "target_column": "target",
  "target_is_final_column": true,
  "target_names": [
    "target"
  ],
  "target_scaling": {
    "class_to_code": {
      "0.0": 0,
      "1.0": 1
    },
    "classes": [
      0.0,
      1.0
    ],
    "mode": "classification",
    "n_classes": 2,
    "range": [
      0.0,
      1.0
    ],
    "scaled_code_formula": "code / max(1, n_classes - 1)"
  },
  "target_source_encoding": {
    "kind": "numeric"
  },
  "task_type": "binary",
  "test_rows": 1000,
  "train_rows": 1000
}