Predictive Model Markup Language

What Does Predictive Model Markup Language Mean?

Predictive Model Markup Language (PMML) is an XML-based markup language designed to provide a method of defining application models related to predictive analytics and data mining. PMML attempts to eliminate proprietary issues and incompatibility from application exchange models.

Techopedia Explains Predictive Model Markup Language

PMML effectively resolves increased requirements for statistical/data mining tools and technology within business systems. PMML includes many built-in functions, including condition statements and arithmetic capabilities, which enable broad data manipulation. Specific elements are defined for pre-processing tasks in PMML, e.g., normalization, discretization and value mapping.

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Margaret Rouse

Technology Specialist

Margaret is an award-winning writer and educator known for her ability to explain complex technical topics to a non-technical business audience. Over the past twenty years, her IT definitions have been published by Que in an encyclopedia of technology terms and cited in articles in the New York Times, Time Magazine, USA Today, ZDNet, PC Magazine, and Discovery Magazine. She joined Techopedia in 2011. Margaret’s idea of a fun day is to help IT and business professionals to learn to speak each other’s highly specialized languages.

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