Changes over time in the distribution or characteristics of input data (or user behavior) that can degrade model performance. Data drift is often monitored alongside model drift (changes in the model itself).
Changes over time in the distribution or characteristics of input data (or user behavior) that can degrade model performance. Data drift is often monitored alongside model drift (changes in the model itself).