ADAS                    Adaptive Synthetic Sampling Approach for
                        Imbalanced Learning
ANS                     Adaptive Neighbor Synthetic Majority
                        Oversampling TEchnique
BLSMOTE                 Borderline-SMOTE
DBSMOTE                 Density-based SMOTE
RSLS                    Relocating Safe-level SMOTE
SLS                     Safe-level SMOTE
SMOTE                   Synthetic Minority Oversampling TEchnique
SMOTEfamily             SMOTE family package for Data Generation
gap                     The function to provide a random number which
                        is used as a location of synthetic instance
kncount                 Counting the number of each class in K nearest
                        neighbor
knearest                The function to find n_clust nearest neighbors
                        of each instance, always removing the index of
                        that instance if it is reported.
n_dup_max               The function to calculate the maximum round
                        each sampling is repeated
sample_generator        The function to generate 2-dimensional dataset
