Extra Recipes Steps for Dealing with Unbalanced Data

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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