What is Model Drift in Machine Learning


Picture from Unsplash by Hunter Harritt
Model drift in machine learning refers to the phenomenon where the statistical properties of the data being predicted by a machine learning model change over time, causing the performance of the model to deteriorate. This can happen when the underlying distribution of the input data changes due to various reasons, such as changes in…

This story appeared on medium.datadriveninvestor.com, 2023-05-26.
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