package core

Type Members

  1. class BalanceCascade extends Algorithm

    Easy Ensemble algorithm.

    Easy Ensemble algorithm. Original paper: "Exploratory Undersampling for Class-Imbalance Learning" by Xu-Ying Liu, Jianxin Wu and Zhi-Hua Zhou.

  2. class ClassPurityMaximization extends Algorithm

    Class Purity Maximization algorithm.

    Class Purity Maximization algorithm. Original paper: "An Unsupervised Learning Approach to Resolving the Data Imbalanced Issue in Supervised Learning Problems in Functional Genomics" by Kihoon Yoon and Stephen Kwek.

  3. class ClusterOSS extends Algorithm

    ClusterOSS.

    ClusterOSS. Original paper: "ClusterOSS: a new undersampling method for imbalanced learning." by Victor H Barella, Eduardo P Costa and André C P L F Carvalho.

  4. class CondensedNearestNeighbor extends Algorithm

    Condensed Nearest Neighbor decision rule.

    Condensed Nearest Neighbor decision rule. Original paper: "The Condensed Nearest Neighbor Rule" by P. Hart.

  5. class EasyEnsemble extends Algorithm

    Easy Ensemble algorithm.

    Easy Ensemble algorithm. Original paper: "Exploratory Undersampling for Class-Imbalance Learning" by Xu-Ying Liu, Jianxin Wu and Zhi-Hua Zhou.

  6. class EditedNearestNeighbor extends Algorithm

    Edited Nearest Neighbour rule.

    Edited Nearest Neighbour rule. Original paper: "Asymptotic Properties of Nearest Neighbor Rules Using Edited Data" by Dennis L. Wilson.

  7. class EvolutionaryUnderSampling extends Algorithm

    Evolutionary Under Sampling.

    Evolutionary Under Sampling. Original paper: "Evolutionary Under-Sampling for Classification with Imbalanced Data Sets: Proposals and Taxonomy" by Salvador Garcia and Francisco Herrera.

  8. class InstanceHardnessThreshold extends Algorithm

    Instance Hardness Threshold.

    Instance Hardness Threshold. Original paper: "An Empirical Study of Instance Hardness" by Michael R. Smith, Tony Martinez and Christophe Giraud-Carrier.

  9. class IterativeInstanceAdjustmentImbalancedDomains extends Algorithm

    Iterative Instance Adjustment for Imbalanced Domains.

    Iterative Instance Adjustment for Imbalanced Domains. Original paper: "Addressing imbalanced classification with instance generation techniques: IPADE-ID" by Victoria López, Isaac Triguero, Cristóbal J. Carmona, Salvador García and Francisco Herrera.

  10. class NearMiss extends Algorithm

    NearMiss.

    NearMiss. Original paper: "kNN Approach to Unbalanced Data Distribution: A Case Study involving Information Extraction" by Jianping Zhang and Inderjeet Mani.

  11. class NeighbourhoodCleaningRule extends Algorithm

    Neighbourhood Cleaning Rule.

    Neighbourhood Cleaning Rule. Original paper: "Improving Identification of Difficult Small Classes by Balancing Class Distribution" by J. Laurikkala.

  12. class OneSideSelection extends Algorithm

    One-Side Selection algorithm.

    One-Side Selection algorithm. Original paper: "Addressing the Curse of Imbalanced Training Sets: One-Side Selection" by Miroslav Kubat and Stan Matwin.

  13. class RandomUndersampling extends Algorithm

    Compute a random undersampling.

  14. class TomekLink extends Algorithm

    Tomek Link algorithm.

    Tomek Link algorithm. Original paper: "Two Modifications of CNN" by Ivan Tomek.

  15. class UndersamplingBasedClustering extends Algorithm

    Undersampling Based on Clustering algorithm.

    Undersampling Based on Clustering algorithm. Original paper: "Under-Sampling Approaches for Improving Prediction of the Minority Class in an Imbalanced Dataset" by Show-Jane Yen and Yue-Shi Lee.

Ungrouped