Feature Rich - How Features Feature in Our 7.10 Release Ayasdi

The new Ayasdi Decision Tree MultiClass Predictor provides a single set of rules to justify and explain why certain transactions/claims/genre choices belong to a particular classification group in the Topological Network (using dt.get_rules(), dt.rules, and dt.dot). This is important because users can now understand, at a granular level, the causal factors behind the groupings and is particularly useful when a network has multiple disjoint groups where the user wants to predict in which group a data point belongs.