concept drift
🤖 CT-AI
Official ISTQB Definition
A change in the statistical properties of the target variable that an ML model is trying to predict, causing model performance to degrade over time.
3 Ways to Think About It
The Quick Take
When an AI's accuracy degrades over time because the real world changed since training.
Look Closer
The reason AI systems need continuous testing - yesterday's model may not work on today's data.
The Bottom Line
Shifting patterns that make a once-accurate model unreliable, requiring ongoing monitoring.
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