1. A computer-implemented method of automatically identifying an optimal set of attributes of entities to facilitate generating best practices for configuring a networked system, comprising: ranking, by a computing system and based on a plurality of information gain values, a plurality of entity types of a plurality of entities included in said networked system; determining, by said computing system and subsequent to said ranking, a first classification accuracy relative to a first entity type, wherein said first entity type is a highest ranked entity type of said plurality of entity types based on said ranking or is a first aggregate entity type associated with two or more entity types of said plurality of entity types; selecting, by said computing system and subsequent to said determining said first measurement, a second entity type of said plurality of entity types, wherein said selecting is based on said ranking; performing, by said computing system, a database join operation on a first set of one or more attributes of one or more entities of said first entity type and a second set of one or more attributes of one or more entities of said second entity type, wherein a result of said performing is a second aggregate entity type; determining, by said computing system, a second classification accuracy relative to said second aggregate entity type; determining, by said computing system, that said second classification accuracy is less than or equal to said first classification accuracy; identifying, by said computing system and in response to said determining that said second measurement is less than or equal to said first measurement, an optimal set of one or more attributes as said first set of one or more attributes, wherein said optimal set contributes to a problem associated with said networked system; and storing said optimal set in a data repository coupled to said computing system.