AINeutralarXiv – CS AI · 10h ago6/10
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Causal Parametric Drift Simulation: A Digital Twin Framework for Classifier Robustness Evaluation
Researchers propose Causal Parametric Drift Simulation, a framework using Structural Causal Models as digital twins to evaluate machine learning classifier robustness against concept drift in dynamic environments. The method preserves causal dependencies in tabular data and identifies vulnerabilities that conventional statistical tests miss, demonstrated on mental health datasets.