The yvsoucom-iterkit framework demonstrates that healthcare risk prediction pipelines have a structured search space dominated by a small set of high-impact components such as augmentation and imbalance handling, with substantial redundancy among variants.
Hyperparameter optimization: Foun- dations, algorithms, best practices, and open challenges.Wiley InterdisciplinaryReviews:DataMiningandKnowledgeDiscovery, 13 (2):e1484
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A Reproducible Log-Driven AutoML Framework for Interpretable Pipeline Optimization in Healthcare Risk Prediction
The yvsoucom-iterkit framework demonstrates that healthcare risk prediction pipelines have a structured search space dominated by a small set of high-impact components such as augmentation and imbalance handling, with substantial redundancy among variants.