Model drift

{
  "id": "MLC-T-OAG-002407",
  "term": "Model drift",
  "field": "Oil and gas",
  "definition": "The degradation of a machine learning model's performance over time due to changes in the underlying data distribution or the relationship between input features and the target variable. This phenomenon occurs when the real-world data the model encounters deviates significantly from the data it was trained on. Regular monitoring and retraining are necessary to mitigate model drift and maintain predictive accuracy.",
  "subject": "Digital",
  "url": "https://mlchart.com/terminology/oil-and-gas/model-drift/"
}