Settings for Apriori Algorithm

The defaults have been selected to work well in most cases. For more information about confidence and support, see Support and Confidence. You can change the following:

To restore the default values, click Restore.

If you increase support and confidence, you will reduce the number of rules generated.

In most cases, confidence should be strictly greater than support.

If a model has 0 rules, you must modify the build options and rebuild the model. First try decreasing Minimum Support; if that doesn't work, decrease Minimum Confidence. You may need to specify values less than 1 for either of these values.

Click OK to return to the calling page.

Support and Confidence

Support and confidence are defined as follows:

For example, suppose that there are 100 baskets in the training dataset. Suppose that 20 baskets contain A and B. Suppose that 2 of the 20 baskets that contain A, and B also contain C. Then the support for "if A and B then C" is 2% (2 out of 100) and confidence is 10% (2 out of 20).