[ 原始碼： r-cran-rose ]
套件：r-cran-rose（0.0-4-2）
GNU R random over-sampling examples
Functions to deal with binary classification problems in the presence of imbalanced classes. Synthetic balanced samples are generated according to ROSE (Menardi and Torelli, 2013). Functions that implement more traditional remedies to the class imbalance are also provided, as well as different metrics to evaluate a learner accuracy. These are estimated by holdout, bootstrap or cross-validation methods.
其他與 r-cran-rose 有關的套件
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- dep: r-api-4.0
- 本虛擬套件由這些套件填實： r-base-core
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- dep: r-base-core (>= 4.1.1-2)
- GNU R core of statistical computation and graphics system
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- sug: r-cran-mass
- GNU R package of Venables and Ripley's MASS
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- sug: r-cran-nnet
- GNU R package for feed-forward neural networks
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- sug: r-cran-rpart
- GNU R package for recursive partitioning and regression trees