12. The method claim 1 , further comprising: if a desired adequacy of said ensemble model has not yet been reached, successively using another of said subsets of data to further refine said ensemble model until a desired adequacy of said ensemble model has been achieved, as indicated by said objective indication of adequacy; terminating said generating said learning model if one of a user termination instruction is received or said objective indication of adequacy crosses a predefined threshold; applying said learning model that was generated to other data stored in a memory; and providing an output result of said applying said learning model to said other data.
13. The method of claim 12 , as embodied in a set of computer-readable machine instructions stored in a tangible storage medium.