Automated Modelling in IBM SPSS Modeler

IBM SPSS Modeler is an extensive predictive analytics platform designed to bring predictive intelligence to decisions made by individuals, groups, systems, and the enterprise. IBM SPSS Modeler has an easy-to-use drag-and-drop user interface with a complete set of tools for accessing data, data examination, preparation, modelling, evaluation, and deployment.  

IBM SPSS Modeler users have a complete toolset to build predictive models from start to finish. Modeler uses node-based, visual programming. Users pick nodes from palettes and place them on the stream canvas. Once nodes have been placed on the stream canvas and edited, they can be linked to form a stream. A stream represents a flow of data through several operations (nodes) to a destination that can be in the form of output (either text or chart), a model, or the export of data to another format (e.g., a database).  

To improve your experience using IBM SPSS Modeler, the Version 1 SPSS experts provide training, offering both express and longer courses. Training can also be customised for individual users and groups. Investing in training improves and extends your knowledge of modelling techniques, in combination with maximising your usage of this powerful tool.  

IBM SPSS Modeler provides automated modelling methods that allow data scientists and analysts to run multiple models simultaneously and compare the accuracy of these models. The automated modelling options are easily visible in the user interface and intuitive. Rather than taking days or weeks to test and compare models, automated modelling allows users to determine which models are best for the business question or problem under consideration. This two-hour express course will review Modeler’s automated modelling features and demonstrate how automated modelling works.

This course will cover the following topics:

• Auto Classifier node
• Auto Numeric node
• Auto Cluster node
• Demo of automated node test of multiple models

Course attendees will receive sample data files and step-by-step exercises that can be completed following the course.

Best for: Anyone interested in the automated modelling options available in IBM SPSS Modeler.