"Counterfactual ensembles for interpretable churn prediction: from ..."

Samuele Tonati et al. (2025)

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DOI: 10.1007/S10994-025-06880-4

access: open

type: Journal Article

metadata version: 2025-11-02

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Samuele Tonati, Marzio Di Vece, Fosca Giannotti, Roberto Pellungrini:
Counterfactual ensembles for interpretable churn prediction: from real-world to privacy-preserving synthetic data. Mach. Learn. 114(10): 230 (2025)

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