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fraudlens-model

Tabular Classification
Scikit-learn
fraud-detection
lightgbm
shap
Model card Files
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fraudlens-model
File size: 1,613 Bytes
657f638
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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{
  "dataframe_split": {
    "columns": [
      "amt",
      "log_amt",
      "category",
      "hour",
      "day_of_week",
      "is_night",
      "age_at_txn",
      "log_city_pop",
      "distance_km",
      "card_txn_count_1h",
      "card_txn_count_24h",
      "card_txn_count_7d",
      "card_amt_sum_24h",
      "card_avg_amt_prior",
      "amt_to_card_avg_ratio",
      "secs_since_last_txn",
      "is_new_category_for_card",
      "card_txn_number"
    ],
    "data": [
      [
        118.81,
        4.785907154651808,
        "food_dining",
        0.0,
        3.0,
        1.0,
        57.0,
        8.799360083179907,
        82.28855389276828,
        0.0,
        2.0,
        21.0,
        93.32,
        66.7779896526237,
        1.7791790471388047,
        15295.0,
        0.0,
        1353.0
      ],
      [
        91.66,
        4.528936879988502,
        "gas_transport",
        0.0,
        3.0,
        1.0,
        29.0,
        6.212606095751519,
        119.45421155194228,
        1.0,
        4.0,
        29.0,
        292.64,
        61.098279452054804,
        1.5002059112307355,
        1636.0,
        0.0,
        1825.0
      ],
      [
        4.55,
        1.713797927758343,
        "shopping_pos",
        0.0,
        3.0,
        1.0,
        55.0,
        7.748460023899697,
        71.93096354821488,
        0.0,
        7.0,
        27.0,
        332.94,
        66.40704683195585,
        0.06851682490133693,
        6114.0,
        0.0,
        1815.0
      ]
    ]
  }
}