UBL: Utility-Based Learning
WEighted Relevance-based Combination Strategy (WERCS) algorithm for imbalanced classification problems
SMOGN algorithm for imbalanced regression problems
One-sided selection strategy for handling multiclass imbalanced problems.
Neighborhood Cleaning Rule (NCL) algorithm for multiclass imbalanced problems
REBaggRegress: RE(sampled) BAG(ging), an ensemble method for dealing with imbalanced regression problems.
Tomek links for imbalanced classification problems
WEighted Relevance-based Combination Strategy (WERCS) algorithm for imbalanced regression problems
Utility surface obtained through methods for spatial interpolation of points.
SMOGN algorithm for imbalanced classification problems
Optimization of predictions utility, cost or benefit for classification problems.
Predicting on new data with a BagModel model
Computation of nearest neighbours using a selected distance function.
Relevance function.
Estimation of parameters used for obtaining the relevance function.
Random over-sampling for imbalanced regression problems
Random over-sampling for imbalanced classification problems
Optimization of predictions utility, cost or benefit for regression problems.
Introduction of Gaussian Noise for the generation of synthetic examples to handle imbalanced multiclass problems.
Introduction of Gaussian Noise for the generation of synthetic examples to handle imbalanced regression problems
Random under-sampling for imbalanced classification problems
SMOTE algorithm for unbalanced classification problems
Random under-sampling for imbalanced regression problems
SMOTE algorithm for imbalanced regression problems
Condensed Nearest Neighbors strategy for multiclass imbalanced problems
Synthetic Imbalanced Data Set for a Multi-class Task
Synthetic Regression Data Set
Standard Bagging ensemble for regression problems.
ADASYN algorithm for unbalanced classification problems, both binary and multi-class.
Class "BagModel"
Distance matrix between all data set examples according to a selected distance metric.
Utility metrics for assessing the performance of utility-based classification tasks.
Utility metrics for assessing the performance of utility-based regression tasks.
Edited Nearest Neighbor for multiclass imbalanced problems