5 Visualizing Associations

BigML provides two different visualizations of the association rules discovered: a table and a network chart, explained in (section 5.1 ) and (section 5.2 ) respectively.

To better understand the conventions that BigML association rules follow, see below a simple association rule example (Figure 5.1 ):

This rule indicates that if the person is male, more than 30 years old, and married (Antecedent), it is likely that he is also a full-time employee (Consequent).

Note: association rules look for co-occurrences between items and don’t imply causality. In this example, being a full-time employee is not a direct consequence of being a 30-year-old married male, it’s just a co-occurrence that appears more often than expected.