1. A method, comprising: receiving fault, configuration, administration, performance, and security (FCAPS) data; receiving session logs; categorizing, partitioning, and preparing the fault, configuration, administration, performance, and security (FCAPS) data into an input set and output set configured for generating offline and online prediction, and for providing offline root cause recommendations of service access quality of experience (QoE) issues; offline training, evaluating, and validating of a model configured for learning in areas of the service access quality of experience (QoE) issues, based on the output set; and utilizing the trained, evaluated, and validated model to execute a prediction function to provide the offline root cause recommendations for the service access quality of experience (QoE) issues.