Naive Bayes Options

There are two kinds of options for a Naive Bayes model:

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

General Options

These options apply to any algorithm that has a target. You can specify:

Algorithm Options

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. An item pair is a frequent item pair if the items in the pair are frequent 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.