Detection of data drift and outliers affecting machine learning model performance over time

Samuel Ackerman, Eitan Farchi, Orna Raz +2

A trained ML model is deployed on another `test' dataset where target feature values (labels) are unknown. Drift is distribution change between the training and deployment data, wh…