What is drift in a machine learning project?
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In machine learning, drift refers to changes in the distribution of the data.
Concept drift vs Data drift
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Concept drift refers to changes in the relationship between the input data and the target variable to be predicted.
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The relationship between the location of a house and its price may change over time.
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Data drift refers to changes in the distribution of the input data.
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The standard design of a house may change over time.
Sudden shock vs Gradual change
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Sudden shock is a change happen in very short period of time.
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After the COVID-19 outbreak, customers' purchasing patterns abruptly shifted to online shopping.
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Gradual change happens for a long time.
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The meaning of a word can evolve over generations.