Counterfactual Ensembles for Interpretable Churn Prediction: From Real-World to Privacy-Preserving Synthetic Data

Tonati et al. "Counterfactual Ensembles for Interpretable Churn Prediction: From Real-World to Privacy-Preserving Synthetic Data." Machine Learning, 2025. doi:10.1007/S10994-025-06880-4

[Tonati et al. "Counterfactual Ensembles for Interpretable Churn Prediction: From Real-World to Privacy-Preserving Synthetic Data." Machine Learning, 2025.](https://mlanthology.org/mlj/2025/tonati2025mlj-counterfactual/) doi:10.1007/S10994-025-06880-4

@article{tonati2025mlj-counterfactual,
  title     = {{Counterfactual Ensembles for Interpretable Churn Prediction: From Real-World to Privacy-Preserving Synthetic Data}},
  author    = {Tonati, Samuele and Di Vece, Marzio and Giannotti, Fosca and Pellungrini, Roberto},
  journal   = {Machine Learning},
  year      = {2025},
  pages     = {230},
  doi       = {10.1007/S10994-025-06880-4},
  volume    = {114},
  url       = {https://mlanthology.org/mlj/2025/tonati2025mlj-counterfactual/}
}