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.
Read more about Concept Drift: Examples, Possible Remedies, Software, Projects, Meetings, Mailing List, Bibliographic References
Famous quotes containing the words concept and/or drift:
“Teaching Black Studies, I find that students are quick to label a black person who has grown up in a predominantly white setting and attended similar schools as “not black enough.” ...Our concept of black experience has been too narrow and constricting.”
—bell hooks (b. c. 1955)
“But now they drift on the still water,
Mysterious, beautiful;”
—William Butler Yeats (1865–1939)