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VisualizationsApplied Machine Learning

Data vs Concept Drift

Switch from the training year to data drift, where the mix of purchases changes, or concept drift, where fraud rates change and only late labels show it.

100 purchases
onlinein store
Chance of fraud
0%2%4%6%
5%
1%
onlinein store
Online
20%
what the model learned from
Fraud per 1,000 purchases
18
10 online + 8 in store
Labels:
Already known

The model learned from this year, and its labels are already known. Pick a kind of drift to see a later year.

Dashed lines mark the training year's chances of fraud. Labels say which purchases really were fraud.

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