What will setting Optimize Training Set to Yes remove from the training data source search?

Setting the Optimize Training Set option to Yes is designed to enhance the quality and relevance of the training data by filtering out elements that may not contribute meaningfully to the analysis or predictions being performed. By opting to optimize the training set, various types of data that could dilute the quality of the dataset will be removed.

The removal of lists that contain a significant amount of numbers is critical, as numerical data alone may not provide the context needed for training models that often rely on textual information. Lengthy email conversations can also be excluded since they may contain excessive information that is irrelevant to the specific training objectives, thus reducing the efficiency and clarity of the training set. Lastly, system files such as EXE, DLL, and others are generally non-informative in the context of textual analysis or training, serving instead as technical elements of the system rather than relevant content for training purposes.

Therefore, by selecting to optimize the training set, all these unnecessary or less relevant data types are effectively removed to create a clean, efficient, and focused dataset that better serves the intended training outcomes.