Article

An Interpretable AutoML Pipeline: Automated Feature Engineering with FeatureTools and SurX

2025-12-02

Abstract excerpt

<title>Abstract</title> <p>Feature engineering is a foundational step in building effective machine learning models. This study presents a modular and interpretable AutoML pipeline that automates data preprocessing, feature synthesis and selection using FeatureTools and a novel explainability tool, SurX (Surrogate Explainer). The pipeline includes preprocessing stages such as imputation, outlier handling, and lab...

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Literature Corpus work: a6d9ec81-ec41-576a-a920-2b348044dc39
DOI: 10.21203/rs.3.rs-8205273/v1

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