System and method for machine learning-based delivery tagging

Abstract

A system including one or more processors; and one or more non-transitory computer-readable media storing computing instructions, that when executed on one or more processors, cause the one or more processors to perform certain operations including: training a first submodel of a machine learning model by at least (i) creating a cumulative addition of light gradient boosting models, and (ii) determining weights for aggregation with probabilities from the light gradient boosting models; generating, using the machine learning model, as trained, classifications for nodes, wherein the classifications comprise unions of outputs of the first submodel of the machine learning model and outputs of a second submodel of the machine learning model; and based on the classifications for the nodes, automatically tagging a portion of the nodes as deliverable in an online platform. Other embodiments are described.