ProCause generates counterfactual outcomes to evaluate prescriptive process monitoring methods, and an ensemble of causal learners is more consistently reliable than the standard TARNet approach.
In: 36th Conference on NeurIPS Datasets and Benchmarks Track
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ProCause: Generating Counterfactual Outcomes to Evaluate Prescriptive Process Monitoring Methods
ProCause generates counterfactual outcomes to evaluate prescriptive process monitoring methods, and an ensemble of causal learners is more consistently reliable than the standard TARNet approach.