# Extra Recipes Steps for Dealing with Unbalanced Data

## Documentation for package ‘themis’ version 0.1.4

- DESCRIPTION file.

## Help Pages

adasyn | Adaptive Synthetic Sampling Approach algorithm
bsmote | borderline-SMOTE algorithm
circle_example | Synthetic Dataset with a circle
smote | SMOTE algorithm
step_adasyn | Adaptive Synthetic Sampling Approach
step_bsmote | Apply borderline-SMOTE algorithm
step_downsample | Down-Sample a Data Set Based on a Factor Variable
step_nearmiss | Under-sampling by removing points near other classes.
step_rose | Apply ROSE algorithm
step_smote | Apply SMOTE algorithm
step_tomek | Under-sampling by removing Tomek’s links.
step_upsample | Up-Sample a Data Set Based on a Factor Variable
tidy.step_adasyn | Adaptive Synthetic Sampling Approach
tidy.step_bsmote | Apply borderline-SMOTE algorithm
tidy.step_downsample | Down-Sample a Data Set Based on a Factor Variable
tidy.step_nearmiss | Under-sampling by removing points near other classes.
tidy.step_rose | Apply ROSE algorithm
tidy.step_smote | Apply SMOTE algorithm
tidy.step_tomek | Under-sampling by removing Tomek’s links.
tidy.step_upsample | Up-Sample a Data Set Based on a Factor Variable