AI RESEARCH
When to Retrain after Drift: A Data-Only Test of Post-Drift Data Size Sufficiency
arXiv CS.LG
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ArXi:2603.09024v1 Announce Type: new Sudden concept drift makes previously trained predictors unreliable, yet deciding when to retrain and what post-drift data size is sufficient is rarely addressed. We propose CALIPER - a detector- and model-agnostic, data-only test that estimates