Segmentation ART™ module provides Fair Isaac's proprietary Adaptive Random Tree (ART) algorithm for designing optimized segmentations of your portfolio. Segmentation ART leverages genetic search techniques to automate the process of evaluating thousands of candidate segmentations and identifies the optimal segmentation for your portfolio. Segmentation ART improves the precision of your models while significantly reducing the time required to develop effective segmented model systems. Learn more about Segmentation ART in the ViewPoints article "Leveraging Randomness: The Science of Adaptive Random Trees".
Like all of Model Builder innovation modules, Segmentation ART integrates seamlessly with the base Model Builder platform allowing you to leverage the capabilities of Model Builder for importing data, visualizing and exploring predictive patterns, defining predictive variables, and creating, evaluating, and deploying models
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