What does Relevance mean?

Relevance reports how relevant a sub-pattern is with respect to either a pattern in your data, or to all your data. You can think of Relevance as finding the ‘uncommonly common’ sub-patterns that occur more frequently with the pattern than they do in your overall data selection – and calculating a score that combines both the uniqueness factor and the frequency. You will often find that sub-patterns with a high Relevance will contain important descriptive and root cause information.