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Counterfactual ensembles for interpretable churn prediction: from real-world to privacy-preserving synthetic data

Crossref DOI link: https://doi.org/10.1007/s10994-025-06880-4

Published Online: 2025-09-15

Published Print: 2025-10

Update policy: https://doi.org/10.1007/springer_crossmark_policy

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