Abstract: Data modeling systems and methods are described. A data modeling method may include receiving user input specifying a structure of at least a portion of a data model and a complexity value associated with the structure; (a) generating one or more data models; (b) determining complexity scores for the respective data models; (c) for each of the data models: determining whether to select the respective data model for evaluation based, at least in part, on the complexity score of the respective data model, and if the respective data model is selected for evaluation, evaluating an accuracy of the respective data model for one or more data sets; and repeating steps (a)-(c) until one or more specified termination criteria are satisfied, wherein a first of the generated data models includes the specified structure, and wherein the complexity score for the first data model is determined based, at least in part, on the complexity value associated with the structure.