Prioritizing Causation in Decision Trees: A Framework for Interpretable Modeling

Published: 01 Jan 2024, Last Modified: 05 Feb 2025Eng. Appl. Artif. Intell. 2024EveryoneRevisionsBibTeXCC BY-SA 4.0
Abstract: Highlights•Analyzing spurious correlation’s impact on decision trees.•A novel causality-guided framework has been designed for tree construction.•Consideration of significance levels during tree growth.•Achieving comparable performance with up to 35% reduction in tree depth.
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