Patent ID: 11914622
Assignee: SAP SE
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 15:
16. The one or more computer-readable storage media of claim 14, wherein each record of the sample of records comprises categorical factor values for respective factors of a set of candidate factors and a label value for the target metric, and wherein:
the analyzing operation further comprises:
training a classification machine learning tool on the sample of records, with the factor values being training inputs and the label value being a training output;
evaluating, from the trained classification machine learning tool, the respective feature importances of a plurality of factors among the set of candidate factors; and
identifying the key factors among the set of candidate factors based on the feature importances; and

the operations further comprises:
evaluating respective scores for each of the factor values of the key factors; and
selecting one or more of the factor values having highest score(s) among the respective scores; and

wherein the outputted one or more evaluations comprise the selected factor values.