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Tags: feature importance* + causal inference* + causality* + monotonic constraints*

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1. Causality in ML Models: Introducing Monotonic Constraints

   This article explains how adding monotonic constraints to traditional ML models can make them more reliable for causal inference, illustrated with a real estate example.

   2024-09-06 Tags: causality, machine learning, monotonic constraints, causal inference, data science, feature importance by klotz

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