Clearing feedback is essential in the production environment if you have already
downloaded and used the feedback to train a new version of the model.
If you fail to clear the old feedback data before you work on the next model version, you
retrain the model on the old feedback. As a result, the model becomes biased.
By clearing the feedback data at the end of a model development cycle, you can collect
new feedback for the next version of the model. The next time you export feedback data,
the data does not include the feedback that you already used to train the previous
version of the model. For more information, see Increase the accuracy of text analytics models with
imported feedback data.
Important: This action clears feedback data for the selected language
In the navigation pane of Prediction Studio, click Models.
Click the model for which you want to clear feedback data.
In the header of the model work area, click ActionsClear feedback data.
In the Clear feedback dialog box, in the Clear
feedback for language list, select the language for which you
want to clear feedback, and then click Yes.
Result: The system deletes the feedback data for the selected