Extra Recipes Steps for Dealing with Unbalanced Data

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Documentation for package ‘themis’ version 0.2.1

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adasyn Adaptive Synthetic Algorithm
bsmote borderline-SMOTE Algorithm
circle_example Synthetic Dataset With a Circle
nearmiss Remove Points Near Other Classes
smote SMOTE Algorithm
smotenc SMOTENC Algorithm
step_adasyn Apply Adaptive Synthetic Algorithm
step_bsmote Apply borderline-SMOTE Algorithm
step_downsample Down-Sample a Data Set Based on a Factor Variable
step_nearmiss Remove Points Near Other Classes
step_rose Apply ROSE Algorithm
step_smote Apply SMOTE Algorithm
step_smotenc Apply SMOTENC algorithm
step_tomek Remove Tomek’s Links
step_upsample Up-Sample a Data Set Based on a Factor Variable
tidy.recipe Tidy the Result of a Recipe
tidy.step_adasyn Tidy the Result of a Recipe
tidy.step_bsmote Tidy the Result of a Recipe
tidy.step_downsample Tidy the Result of a Recipe
tidy.step_nearmiss Tidy the Result of a Recipe
tidy.step_rose Tidy the Result of a Recipe
tidy.step_smote Tidy the Result of a Recipe
tidy.step_smotenc Tidy the Result of a Recipe
tidy.step_tomek Tidy the Result of a Recipe
tidy.step_upsample Tidy the Result of a Recipe