R: Extra Recipes Steps for Dealing with Unbalanced Data

# Extra Recipes Steps for Dealing with Unbalanced Data

## Documentation for package ‘themis’ version 1.0.3

- DESCRIPTION file
- Package NEWS
- Package README

## Help Pages

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.step_adasyn | Apply Adaptive Synthetic Algorithm
tidy.step_bsmote | Apply borderline-SMOTE Algorithm
tidy.step_downsample | Down-Sample a Data Set Based on a Factor Variable
tidy.step_nearmiss | Remove Points Near Other Classes
tidy.step_rose | Apply ROSE Algorithm
tidy.step_smote | Apply SMOTE Algorithm
tidy.step_smotenc | Apply SMOTENC algorithm
tidy.step_tomek | Remove Tomek’s Links
tidy.step_upsample | Up-Sample a Data Set Based on a Factor Variable
tomek | Remove Tomek's links