Attribute Discrepancies

The attributes in the model or result do not exactly match the attributes in the original source. Discrepancies may occur, for example, when you do not use an attribute that has unique values in a model build.

This dialog summarizes the differences. Attributes will be added or dropped to correct discrepancies. The original totals for attribute count and case count refer to the numbers in the model or result. The new totals for attribute count and case count represent the numbers that result from correcting discrepancies.

For each attribute, the following information is displayed: included (true or false), the name of the attribute, the datatype of the attribute, and the mining type of the attribute (categorical or numerical).

For information about which attributes were added or dropped, click Show Log.

Click OK to continue.