Home > Model Nodes > Association Node > Classification Node > Edit Classification Build Node > Classification Node Properties > Explicit Feature Extraction... > Advanced Model Settings
You can edit and set the algorithm settings of a selected ESA model here. The Explicit Semantic Algorithm model has only three algorithm settings:
Data Usage: Displays the attribute name, data type, mining type and other details about the attributes in the selected model. You can customize your input source here.
Algorithm Settings: The following are the algorithm settings for an ESA model:
Top N Features: Controls the maximum number of features per attribute. It must be a positive integer. The default is 1000.
Minimum Items: determines the minimum number of non-zero entries that need to be present in an input row.
Threshold Values: This setting thresholds very small values in the transformed build data. It must be a non-negative number. The default is 0.00000001.