| AdasynClassif | ADASYN algorithm for unbalanced classification problems, both... |
| BaggingRegress | Standard Bagging ensemble for regression problems. |
| BagModel-class | Class "BagModel" |
| CNNClassif | Condensed Nearest Neighbors strategy for multiclass... |
| Distances | Distance matrix between all data set examples according to a... |
| ENNClassif | Edited Nearest Neighbor for multiclass imbalanced problems |
| EvalClassifMetrics | Utility metrics for assessing the performance of... |
| EvalRegressMetrics | Utility metrics for assessing the performance of... |
| gaussNoiseClassif | Introduction of Gaussian Noise for the generation of... |
| gaussNoiseRegress | Introduction of Gaussian Noise for the generation of... |
| ImbC | Synthetic Imbalanced Data Set for a Multi-class Task |
| ImbR | Synthetic Regression Data Set |
| ImpSampClassif | WEighted Relevance-based Combination Strategy (WERCS)... |
| ImpSampRegress | WEighted Relevance-based Combination Strategy (WERCS)... |
| NCLClassif | Neighborhood Cleaning Rule (NCL) algorithm for multiclass... |
| neighbours | Computation of nearest neighbours using a selected distance... |
| OSSClassif | One-sided selection strategy for handling multiclass... |
| phi | Relevance function. |
| phiControl | Estimation of parameters used for obtaining the relevance... |
| predict-BagModel-method | Predicting on new data with a *BagModel* model |
| randOverClassif | Random over-sampling for imbalanced classification problems |
| randOverRegress | Random over-sampling for imbalanced regression problems |
| randUnderClassif | Random under-sampling for imbalanced classification problems |
| randUnderRegress | Random under-sampling for imbalanced regression problems |
| ReBaggRegress | REBaggRegress: RE(sampled) BAG(ging), an ensemble method for... |
| SMOGNClassif | SMOGN algorithm for imbalanced classification problems |
| SMOGNRegress | SMOGN algorithm for imbalanced regression problems |
| smoteClassif | SMOTE algorithm for unbalanced classification problems |
| smoteRegress | SMOTE algorithm for imbalanced regression problems |
| TomekClassif | Tomek links for imbalanced classification problems |
| UBL-package | UBL: Utility-Based Learning |
| UtilInterpol | Utility surface obtained through methods for spatial... |
| UtilOptimClassif | Optimization of predictions utility, cost or benefit for... |
| UtilOptimRegress | Optimization of predictions utility, cost or benefit for... |
