Naive Bayes Options

The default settings are designed so that they should work for most cases.

There are two kinds of build settings:

General Settings

General settings are supported for classification models only.

The General tab lets you select one of the following accuracy goals:

In many cases, Maximum Overall Accuracy provides the best general approach. For detailed information about these types, see Accuracy Type.

Algorithm Settings

You can change the Singleton Threshold and the Pairwise Threshold.

Singleton Threshold

The Singleton Threshold is a threshold on the count of the frequent items. An item is a frequent item if it is included in a sufficiently large number of transactions. The singleton threshold is expressed as a percentage of the number of profiles. Suppose that the total number of transactions that an item appears is k and the total number of profiles is P, and t is the singleton threshold expressed as a percentage of P (0.01 indicates 1 percent of P). Then, the item is a frequent item if k >= t*P.

Pairwise Threshold

The Pairwise Threshold is a threshold on the count of the frequent item pairs. A pair of itmes is a frequent item pair if the items in the pair are items that occur together in sufficiently large number of profiles. Suppose that two distinct items occur together in k profiles, the total number of profiles that include the frequent items is P, and t is the threshold expressed in percentage (0.01 indicates 1 percent of P). Then the pair is a frequent item pair if k > t*P.

When you are done, click OK to close the dialog and save any changes.