Machine Learning in R
The package offers a robust interface for various classification and regression techniques, featuring machine-readable parameter descriptions. It includes experimental extensions for survival analysis and clustering, alongside generic resampling methods like cross-validation and bootstrapping. Users can perform hyperparameter tuning and feature selection, with operations designed for parallel execution. For more information, visit https://CRAN.R-project.org/package=mlr.
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