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Training as Treatment: A Causal Framework for Machine-Learning Evaluation

2026-08-10

Abstract excerpt

<title>Abstract</title> <p>Machine-learning evaluation conventionally treats training, validation, and test assignment as a procedural step rather than an object of causal analysis. This paper proposes Training as Treatment, a potential-outcomes framework in which data-role assignments and learning-pipeline choices are modeled as interventions. Predictions, losses, aggregate metrics, calibration, robustness, fair...

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Literature Corpus work
1c61c7bc-c6f9-547b-9e1d-0408231999ca
DOI
10.21203/rs.3.rs-10608502/v1
Open publication

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Training as Treatment: A Causal Framework for Machine-Learning EvaluationDOI 10.21203/rs.3.rs-10608502/v1
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