A learning objective controllable sphere-based method for balanced and imbalanced data classification

HIGHLIGHTS

  • who: . and colleagues from the Department of Industrial Engineering, Sungkyunkwan University, Suwon, Republic of Korea have published the research work: A Learning Objective Controllable Sphere-Based Method for Balanced and Imbalanced Data Classification, in the Journal: (JOURNAL)
  • what: This research proposes new sphere-based method named LOCS (learning objective controllable sphere-based classifier) which is designed to maximize AUC (area under ROC curve). While the resampling approach focuses on a balanced class ratio of the original data, the algorithm level approach is designed to prevent damage to the original data and to use the original . . .

     

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