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Download MODEL_CARD.md from raymuz/Customer_Churn_Intelligence_Lab: direct link, hf CLI and curl.
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https://huggingface.co/spaces/raymuz/Customer_Churn_Intelligence_Lab/resolve/main/MODEL_CARD.md
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curl -L -o MODEL_CARD.md https://huggingface.co/spaces/raymuz/Customer_Churn_Intelligence_Lab/resolve/main/MODEL_CARD.md
1.05 kB
| # Model Card: Bank + Telecom Churn Screening | |
| ## Bank | |
| Predictors: CreditScore, Age, Tenure, Balance, NumOfProducts, HasCrCard, IsActiveMember, EstimatedSalary, Geography. | |
| Excluded identifiers: CustomerId, Surname. | |
| Duplicate rows removed: 2. Train/validation/test: 6400/1600/2000. | |
| Model: XGBoost; validation-selected F2 cutoff: 0.425; quality gate: demonstration. | |
| ## Telecom | |
| Predictors: SeniorCitizen, tenure, MonthlyCharges, TotalCharges, Partner, Dependents, PhoneService, InternetService, Contract, PaymentMethod. | |
| Excluded identifiers: customerID. | |
| Duplicate rows removed: 0. Train/validation/test: 3763/941/1176. | |
| Model: XGBoost; validation-selected F2 cutoff: 0.100; quality gate: research_only_low_signal. | |
| ## Methodology | |
| Training-only preprocessing, validation PR AUC model selection, validation F2 threshold selection, untouched test performance. | |
| ## Limitations | |
| Educational datasets, distribution shift, no probability calibration, no subgroup fairness validation, and no downstream business impact study. For demonstration only. | |