Package: autoEnsemble Type: Package Title: Automated Stacked Ensemble Classifier for Severe Class Imbalance Version: 0.3 Authors@R: person("E. F. Haghish", role = c("aut", "cre", "cph"), email = "haghish@hotmail.com") Depends: R (>= 3.5.0), Description: A stacking solution for modeling imbalanced and severely skewed data. It automates the process of building homogeneous or heterogeneous stacked ensemble models by selecting "best" models according to different criteria. In doing so, it strategically searches for and selects diverse, high-performing base-learners to construct ensemble models optimized for skewed data. This package is particularly useful for addressing class imbalance in datasets, ensuring robust and effective model outcomes through advanced ensemble strategies which aim to stabilize the model, reduce its overfitting, and further improve its generalizability. License: MIT + file LICENSE Encoding: UTF-8 Imports: h2o (>= 3.34.0.0), h2otools (>= 0.3), curl (>= 4.3.0) RoxygenNote: 7.3.2 URL: https://github.com/haghish/autoEnsemble, https://www.sv.uio.no/psi/english/people/academic/haghish/ BugReports: https://github.com/haghish/autoEnsemble/issues Config/pak/sysreqs: make default-jdk libssl-dev Repository: https://haghish.r-universe.dev Date/Publication: 2025-03-24 20:47:36 UTC RemoteUrl: https://github.com/haghish/autoensemble RemoteRef: HEAD RemoteSha: d83a0dcf15299d4606fded86258af84b7b87a143 NeedsCompilation: no Packaged: 2026-10-07 10:10:18 UTC; root Author: E. F. Haghish [aut, cre, cph] Maintainer: E. F. Haghish