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  "Title": "Automated Stacked Ensemble Classifier for Severe Class Imbalance",
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  "Description": "A stacking solution for modeling imbalanced and severely\nskewed data. It automates the process of building homogeneous\nor heterogeneous stacked ensemble models by selecting \"best\"\nmodels according to different criteria. In doing so, it\nstrategically searches for and selects diverse, high-performing\nbase-learners to construct ensemble models optimized for skewed\ndata. This package is particularly useful for addressing class\nimbalance in datasets, ensuring robust and effective model\noutcomes through advanced ensemble strategies which aim to\nstabilize the model, reduce its overfitting, and further\nimprove its generalizability.",
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  "Encoding": "UTF-8",
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  "URL": "https://github.com/haghish/autoEnsemble,\nhttps://www.sv.uio.no/psi/english/people/academic/haghish/",
  "BugReports": "https://github.com/haghish/autoEnsemble/issues",
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  "Repository": "https://haghish.r-universe.dev",
  "Date/Publication": "2025-03-24 20:47:36 UTC",
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