The data drift
Example: Data drift occurs when input data changes over time
Definition
"The data drift" refers to the phenomenon where the statistical properties of input data change over time, causing models trained on past data to perform less accurately on new data. This shift can affect the reliability and effectiveness of data-driven systems.
Etymology
The term "the data drift" combines 'data,' derived from the Latin 'datum,' meaning 'something given,' and 'drift,' which originates from the Old English 'drift,' meaning 'act of driving or moving.' The phrase metaphorically describes how data 'drifts' or changes gradually over time, impacting analytics and machine learning.
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"The data drift" appears in the Vocaplus list "English - Data & AI - (A1-C2) - set 1", containing 110 commonly used words.
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