Near-optimal survival models can give conflicting failure-risk estimates for the same equipment, and the proposed ambiguity, discrepancy, and obscurity metrics quantify this on CMAPSS engine data.
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Predictive Multiplicity in Survival Models: A Method for Quantifying Model Uncertainty in Predictive Maintenance Applications
Near-optimal survival models can give conflicting failure-risk estimates for the same equipment, and the proposed ambiguity, discrepancy, and obscurity metrics quantify this on CMAPSS engine data.