The management and mining of multiple predictive models using the predictive modeling markup language

Abstract We introduce a markup language based upon XML for working with the predictive models produced by data mining systems. The language is called the predictive model markup language (PMML) and can be used to define predictive models and ensembles of predictive models. It provides a flexible mechanism for defining schema for predictive models and supports model selection and model averaging, involving multiple predictive models. It has proved useful for applications requiring ensemble learning, partitioned learning and distributed learning. In addition, it facilitates moving predictive models across applications and systems.