Extra Recipes Steps for Dealing with Unbalanced Data


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Documentation for package ‘themis’ version 1.1.0

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adasyn Adaptive Synthetic Algorithm
bsmote Borderline-SMOTE Algorithm
circle_example Synthetic Dataset With a Circle
cluster_centroids ClusterCentroids Algorithm
cnn Condensed Nearest Neighbors
enn Edited Nearest Neighbors
instance_hardness Remove hard to classify points
kmeans_smote KMeans-SMOTE Algorithm
ncl Neighborhood Cleaning Rule
nearmiss Remove Points Near Other Classes
oss One-Sided Selection
rose ROSE Algorithm
smogn SMOGN Algorithm
smote SMOTE Algorithm
smoten SMOTEN Algorithm
smotenc SMOTENC Algorithm
step_adasyn Apply Adaptive Synthetic Algorithm
step_bsmote Apply Borderline-SMOTE Algorithm
step_cluster_centroids Under-Sampling by Cluster Centroids
step_cnn Condensed Nearest Neighbors
step_downsample Down-Sample a Data Set Based on a Factor Variable
step_enn Edited Nearest Neighbors
step_instance_hardness Remove hard to classify points
step_kmeans_smote Apply KMeans-SMOTE Algorithm
step_ncl Neighborhood Cleaning Rule
step_nearmiss Remove Points Near Other Classes
step_oss One-Sided Selection
step_rose Apply ROSE Algorithm
step_smogn Apply SMOGN Algorithm
step_smote Apply SMOTE Algorithm
step_smoten Apply SMOTEN Algorithm
step_smotenc Apply SMOTENC Algorithm
step_svmsmote Apply SVM-SMOTE Algorithm
step_tomek Remove Tomek's Links
step_upsample Up-Sample a Data Set Based on a Factor Variable
svmsmote SVM-SMOTE Algorithm
tidy.step_adasyn Apply Adaptive Synthetic Algorithm
tidy.step_bsmote Apply Borderline-SMOTE Algorithm
tidy.step_cluster_centroids Under-Sampling by Cluster Centroids
tidy.step_cnn Condensed Nearest Neighbors
tidy.step_downsample Down-Sample a Data Set Based on a Factor Variable
tidy.step_enn Edited Nearest Neighbors
tidy.step_instance_hardness Remove hard to classify points
tidy.step_kmeans_smote Apply KMeans-SMOTE Algorithm
tidy.step_ncl Neighborhood Cleaning Rule
tidy.step_nearmiss Remove Points Near Other Classes
tidy.step_oss One-Sided Selection
tidy.step_rose Apply ROSE Algorithm
tidy.step_smogn Apply SMOGN Algorithm
tidy.step_smote Apply SMOTE Algorithm
tidy.step_smoten Apply SMOTEN Algorithm
tidy.step_smotenc Apply SMOTENC Algorithm
tidy.step_svmsmote Apply SVM-SMOTE 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