AI Glossary

Concept drift

What does “Concept drift” mean?

Concept drift: A change over time in how inputs relate to the outcome being predicted.

Concept drift visual guide: A change over time in how inputs relate to the outcome being predicted.
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What is an example of “Concept drift”?

Fraud patterns change, so features that once signaled fraud lose their usefulness.

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See also

EvalsTermBenchmarkTermValidation and test setsTermDistribution shiftTermCovariate shiftTerm

Same topic

GeneralizationTermOut-of-distribution detectionTermConfidence scoreTermClassification accuracyTermConfusion matrixTerm