Input Drift

Input Drift provides insight into the data distribution differences between the new dataset and the original dataset used for model training. If the variation remains within an acceptable range, the model can be reused without additional training. However, if the variation exceeds acceptable limits, the model must be retrained with the new dataset.

Upload the new dataset and click on Submit. Scroll down to explore more details.