AutoML-Med uses Latin Hypercube Sampling and Partial Rank Correlation Coefficient to automatically find preprocessing and model configurations that improve balanced accuracy and sensitivity on imbalanced medical tabular datasets.
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AutoML-Med: A Framework for Automated Machine Learning in Medical Tabular Data
AutoML-Med uses Latin Hypercube Sampling and Partial Rank Correlation Coefficient to automatically find preprocessing and model configurations that improve balanced accuracy and sensitivity on imbalanced medical tabular datasets.