metadata.json

{
  "version": "v1",
  "dataset_size": "1.47M transactions",
  "fraud_rate": "5.01%",
  "features": [
    "Transaction Amount",
    "Quantity",
    "Customer Age",
    "Account Age Days",
    "Transaction Hour",
    "Total Customer Transactions",
    "Address Mismatch",
    "Day of Week",
    "Month",
    "Is Weekend",
    "New Account",
    "Transaction Amount Ratio",
    "Avg Daily Transaction Velocity",
    "Time Since Last Transaction",
    "Amount Deviation From History",
    "Product Category Diversity",
    "Amount Log",
    "Amount per Quantity",
    "Amount zscore",
    "Account Age Weeks",
    "Quantity Log",
    "High Amount Flag",
    "High Quantity Flag",
    "Unusual Hour Flag",
    "Amount Age Interaction",
    "Amount Velocity Interaction",
    "New Account High Value",
    "Weekend High Value",
    "High Risk Profile",
    "Velocity Deviation",
    "Suspicious Pattern",
    "Customer Location",
    "Payment Method_bank transfer",
    "Payment Method_credit card",
    "Payment Method_debit card",
    "Product Category_electronics",
    "Product Category_health & beauty",
    "Product Category_home & garden",
    "Product Category_toys & games",
    "Device Used_mobile",
    "Device Used_tablet",
    "Hour Bin_Evening",
    "Hour Bin_Morning",
    "Hour Bin_Night",
    "Age Category_Elder",
    "Age Category_Senior",
    "Age Category_Young",
    "Age Category_Young_Adult",
    "Transaction Size_Medium",
    "Transaction Size_Small",
    "Transaction Size_Very_Large",
    "Transaction Size_Very_Small"
  ],
  "num_features": 52,
  "models": {
    "Logistic Regression": {
      "accuracy": 0.5723150314787072,
      "precision": 0.09879761446710274,
      "recall": 0.9273203322499097,
      "f1": 0.17857018672415592,
      "f2": 0.3463753844493606,
      "auc": 0.861894376946222
    },
    "Random Forest": {
      "accuracy": 0.6203364668715461,
      "precision": 0.10747018610769662,
      "recall": 0.899873600577826,
      "f1": 0.19200909283553913,
      "f2": 0.36363702698364053,
      "auc": 0.8712141180359901
    },
    "Neural Network": {
      "accuracy": 0.9568983855564558,
      "precision": 0.7013222711952295,
      "recall": 0.24422174070061395,
      "f1": 0.3622848724301882,
      "f2": 0.2808288864433878,
      "auc": 0.8747753829020086
    },
    "XGBoost": {
      "accuracy": 0.9557623459444291,
      "precision": 0.6631578947368421,
      "recall": 0.23889490790899243,
      "f1": 0.35125448028673834,
      "f2": 0.2739470741707044,
      "auc": 0.8459368559003257
    },
    "Stacking Ensemble": {
      "accuracy": 0.8972857252775602,
      "precision": 0.26401527461813457,
      "recall": 0.5867641747923438,
      "f1": 0.36417124285554187,
      "f2": 0.4714886825304701,
      "auc": 0.873078448402797
    }
  },
  "ensemble_strategy": {
    "type": "weighted_combination",
    "recall_models": [
      "lr",
      "rf"
    ],
    "precision_models": [
      "nn",
      "xgb"
    ],
    "weights": {
      "recall": 0.7,
      "precision": 0.3
    }
  }
}