Features

Chicago, Illinois. June 16, 2009. The Data Mining Group, a vendor-led consortium of companies and organizations developing standards for statistical and data mining models, announced the release of Version 4.0 of the Predictive Model Markup Language (PMML).

PMML is the leading standard for statistical and data mining models and supported by over 20 vendors and organizations. With PMML, it is straightforward to develop a model on one system using one application and deploy the model on another system using another application.

Version 4.0 of PMML adds the following new features:

• support for time series models;
• support for multiple models, which includes support for both segmented models and ensembles of models;
• improved support for preprocessing data, which will help simplify deployment of models;
• new models, such as survival models;
• support for additional information about models called model explanation, which includes information for visualization, model quality, gains and lift charts, confusion matrix, and related information.

This new version of PMML is a major update of PMML Version 3.2, which was released about two years ago in May, 2007.

"PMML simplifies the deployment of analytic models," says Robert Grossman, Chair of the Data Mining Group. "With PMML, deploying a new model is as easy as reading an XML file."

PMML Version 4.0 can be found on the DMG web site www.dmg.org.

About DMG. The Data Mining Group (DMG) is an independent, vendor led group that develops data mining standards, such as the Predictive Model Markup Language (PMML). For more information, see www.dmg.org.