# Extra Recipes Steps for Dealing with Unbalanced Data

## Documentation for package ‘themis’ version 1.0.2

- DESCRIPTION file.
- Package NEWS.

## 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.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
tomek | Remove Tomek's links