Results for "decision trees"
Best-in-class Series: Balancing Predictive Power and Regulatory Constraints in Automated Decisions through Decision Trees

Best-in-class Series: Balancing Predictive Power and Regulatory Constraints in Automated Decisions through Decision Trees

[Watch the recording] SMARTS™ Product Spotlight: Interactive Tree Model Decision trees are a type of supervised machine learning algorithm which maps out consequences in a tree-like manner. They enable organizations to leverage the predictive power of machine learning...

Sparkling Logic Launches Interactive Tree Model in SMARTS™

Sparkling Logic Launches Interactive Tree Model in SMARTS™

February 29, 2024
Sparkling Logic today announced the launch of Interactive Tree Model, a new component of SMARTS™ that allows users to interact with data to build, test, and deploy decision trees.

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