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Statistical analysis of extreme events in a non-stationary context via a Bayesian framework: case study with peak-over-threshold data, , and . Stochastic Environmental Research and Risk Assessment, (2006)Cost-Constrained feature selection in binary classification: adaptations for greedy forward selection and genetic algorithms., , , , and . BMC Bioinform., 21 (1): 26 (2020)mlr3pipelines - Flexible Machine Learning Pipelines in R., , , , , and . J. Mach. Learn. Res., (2021)Fairness Audits and Debiasing Using mlr3fairness., , , , and . R J., 15 (1): 234-253 (March 2023)Feature Selection Methods for Cost-Constrained Classification in Random Forests., , and . CoRR, (2020)mlr3proba: Machine Learning Survival Analysis in R., , , , and . CoRR, (2020)mlr3: A modern object-oriented machine learning framework in R., , , , , , , , , and . J. Open Source Softw., 4 (44): 1903 (2019)rsimsum: Summarise results from Monte Carlo simulation studies., and . J. Open Source Softw., 3 (26): 739 (2018)Survival Prediction and Model Selection., , and . Mach. Learn. under Resour. Constraints Vol. 3 (3), De Gruyter, (2022)Mlr3spatiotempcv: Spatiotemporal resampling methods for machine learning in R., , , and . CoRR, (2021)