Extra Recipes Steps for Dealing with Unbalanced Data

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Documentation for package ‘themis’ version 1.0.3

• 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.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