Distinguish common predictive analytics failure modes so the fix matches the evidence.
Place each symptom in the predictive analytics failure mode it most likely indicates. Leakage Training-Serving Skew Drift Calibration Gap Ownership Gap Validation AUC jumps after adding a field populated after case closure Feature selection was performed before the train-test split Live CRM status values no longer match the training encoder categories Training pipeline trims text differently from the production API Lead-source mix shifts from inbound demo requests to event badge scans Forecast error doubles after a new competitor changes market behavior Accounts scored near 0.80 churn only about 52 percent of the time Dashboard labels a ranking score as literal…
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