themis 0.1.0

February 10, 2020

We’re chuffed to announce the release of themis on CRAN. themis implements a collection of new steps for the recipes package to deal with unbalanced data. themis is still in early development so any and all feedback is highly appreciated. library(modeldata) library(recipes) library(themis) In a classification context, a dataset is said to be unbalanced if there is an unequal number of observations in each class. Many models perform best when the number of observations is equal and, thus, tend to struggle with unbalanced data.

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