Abstract: A computer-implemented method and corresponding system perform predictive analytics. The system comprises a machine learning (ML) predictor model and diverse ML models coupled to the ML predictor model. The ML predictor combines multiple independent data streams received from respective diverse ML models of the diverse ML models. The multiple independent data streams include respective features indicative of an observable event. The combining produces at least one combination of the respective features. The ML predictor generates a prediction of the observable event. The prediction is based on the at least one combination produced. The ML predictor outputs a representation of the prediction generated. The combining enables temporally and geographically consistent insights, derived via machine learning, to be employed to generate a more robust prediction relative to a prediction generated using conventional techniques.