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.
These options apply to any algorithm that has a target. You can specify:
You can change the Singleton Threshold and the Pairwise 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
.
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
.
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