{
  "raw_features": [
    "Age",
    "Gender",
    "Tenure",
    "Usage Frequency",
    "Support Calls",
    "Payment Delay",
    "Subscription Type",
    "Contract Length",
    "Total Spend",
    "Last Interaction"
  ],
  "feature_cols": [
    "Age",
    "Tenure",
    "Usage Frequency",
    "Support Calls",
    "Payment Delay",
    "Total Spend",
    "Last Interaction",
    "Usage_per_Tenure",
    "Spend_per_Tenure",
    "Support_per_Tenure",
    "Support_x_Delay",
    "Age_x_Tenure",
    "Gender",
    "Subscription Type",
    "Contract Length",
    "Age_Group"
  ],
  "cat_features": [
    "Gender",
    "Subscription Type",
    "Contract Length",
    "Age_Group"
  ],
  "num_features": [
    "Age",
    "Tenure",
    "Usage Frequency",
    "Support Calls",
    "Payment Delay",
    "Total Spend",
    "Last Interaction",
    "Usage_per_Tenure",
    "Spend_per_Tenure",
    "Support_per_Tenure",
    "Support_x_Delay",
    "Age_x_Tenure"
  ],
  "threshold_f1": 0.5321293478150021,
  "threshold_rec": 0.40920096340204465,
  "recall_target": 0.8,
  "ltv_per_customer": 500,
  "retention_cost": 20,
  "churn_cancel_rate": 0.4,
  "retention_pool": 1000,
  "model_name": "LogisticRegression",
  "age_group_bins": [
    0,
    26,
    42,
    58,
    200
  ],
  "age_group_labels": [
    "Gen Z",
    "Millennials",
    "Gen X",
    "Boomers"
  ]
}