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New ODTlearn Python package enables optimal decision tree learning

By PulseAugur Editorial · [1 sources] ·

A new open-source Python package called ODTlearn has been released, designed for learning optimal decision trees. This package implements state-of-the-art mixed-integer optimization frameworks for predictive and prescriptive tasks. ODTlearn supports various types of optimal trees, including those for classification, fair classification, and those robust to distribution shifts, and is built for easy maintenance and extension. AI

IMPACT Provides researchers and practitioners with a new tool for developing advanced decision tree models for complex prediction and prescription tasks.

RANK_REASON Publication of a new open-source software package for machine learning research on arXiv. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv stat.ML →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

New ODTlearn Python package enables optimal decision tree learning

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Publication of a new open-source software package for machine learning research on arXiv. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv stat.ML TIER_1 English(EN) · Patrick Vossler, Nathan Justin, Sina Aghaei, Nathanael Jo, Andr\'es G\'omez, Phebe Vayanos ·

    ODTlearn: A Package for Learning Optimal Decision Trees for Prediction and Prescription

    arXiv:2307.15691v4 Announce Type: replace Abstract: ODTlearn is an open source Python package that provides methods for learning optimal decision trees for high-stakes predictive and prescriptive tasks based on the state-of-the-art mixed-integer optimization (MIO) framework propo…

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