In predictive analytics and machine learning, the concept drift means that the statistical properties of the target variable, which the model is trying to predict, change over time in unforeseen ways. This causes problems because the predictions become less accurate as time passes.
The term concept refers to the quantity to be predicted. More generally, it can also refer to other phenomena of interest besides the target concept, such as an input, but, in the context of concept drift, the term commonly refers to the target variable.
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Famous quotes containing the words concept and/or drift:
“The concept is interesting: to see, as though reflected
In streaming windowpanes, the look of others through
Their own eyes.”
—John Ashbery (b. 1927)
“But now they drift on the still water,
Mysterious, beautiful;”
—William Butler Yeats (1865–1939)