Telco Customer Churn Prediction Model

ML model untuk prediksi customer churn dengan sistem retraining otomatis.

Current Version: v_initial

Metric Value
F1 0.6291
Recall 0.7166
Precision 0.5607
ROC-AUC 0.8419
Threshold 0.60

Structure

  • current/ โ€” active model artifacts (model.pkl, preprocessor.pkl, metrics.json)
  • synthetic/ โ€” synthetic data batches for retraining experiments (SDV-generated)
  • registry.json โ€” version registry with history

Training

  • Algorithm: LogisticRegression (sklearn 1.5.2)
  • Features: 52 (after one-hot encoding)
  • Train samples: 5634
  • Holdout samples: 1409 (fixed, never touched)

License

MIT

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