What does setting 'Optimize Training Set' to Yes do in a conceptual index?

Setting 'Optimize Training Set' to Yes enhances the quality of the training data used for building a conceptual index by streamlining it. This process involves removing irrelevant or less useful data points that could otherwise complicate the analysis and hinder model accuracy.

When 'Optimize Training Set' is enabled, it filters out lengthy email conversations, which often clutter the dataset without contributing significant value for conceptual indexing. In addition, lists containing a large amount of numerical data are typically removed because they may not provide meaningful context or insight for conceptual analysis. System files such as EXE and DLL are also excluded, as they are not relevant for indexing text-based content and could distort the training data.

By taking these measures, the 'Optimize Training Set' function ensures that the data set is cleaner and more focused, allowing for more meaningful relationships to be drawn during the indexing process. This optimized training set results in enhanced performance of the conceptual index, making it more efficient and accurate for practical applications.