Abstract: Particular data is selected from a members-based dataset to provide a resultant training corpus. A first neural network receives that training corpus and generates a first trained machine learning model. That first trained machine learning model can predict member engagement score values for each of a plurality of candidate variable values. The aforementioned training corpus can also be provided to a second neural network to generate a second trained machine learning model. That second trained machine learning model can then be used to predict member engagement score values for each of a plurality of initial-state variable values. The aforementioned member engagement score values for each of the plurality of candidate variable values can then be consolidated with the member engagement score values for each of a plurality of initial-state variable values to thereby provide resultant consolidated member engagement score values.