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SPSS Statistics version 24 includes the following new features: SPSS Modeler Gold is also available as a cloud offering.

SPSS Modeler Gold: This edition provides analytical decision management, collaboration and deployment capabilities.

SPSS Modeler Premium: This edition includes advanced algorithms and capabilities, such as text analytics, entity analytics and social network analysis, that increase model accuracy with unstructured data.

SPSS Modeler Professional: A desktop product that works with IBM SPSS Analytic Server, providing improved scalability and performance and enabling applications to be used across an organization.

SPSS Modeler Personal: A single-user desktop product.

IBM SPSS Modeler provides the following editions: The client front end of SPSS Modeler runs under Windows and macOS, while the server component runs on Unix, Linux and Windows. SPSS Modeler bundles are deployed on premises, and SPSS Modeler Gold is available as a cloud offering.

The ability to run a variety of Python and Spark machine learning, as well as other Python analytics libraries natively in Modeler without requiring the use of the Analytic Server, as was required in the previous version.Enhanced support for several multithreaded analytical algorithms, including Random Trees, Tree-AS, Generalized Linear Engine, Linear-AS, Linear Support Vector Machine and Two-Step-AS clustering.Extensions that provide continued improvements for use with open source products, such as R and Python.More than 30 base machine learning algorithms.Version 18 provides the following features: SPSS Statistics addresses the complete analytical process, from planning to data collection, analysis, reporting and deployment. The IBM SPSS Statistics suite is an integrated set of products geared toward more professional data analysts. The tool can also assist in integrating and consolidating all types of data sets from dispersed data sources across the organization. Modeler can apply different processes and algorithms to help the user discover information hidden in the data.

Users are provided with a drag-and-drop user interface, enabling them to build predictive models and perform other data analytics. The IBM SPSS Modeler targets users who have little or no programming skills.