SMOTE: Synthetic Minority Over-sampling Technique
计算机科学
全球高被引研究(被引 32,109 次,发表于 2002)。 An approach to the construction of classifiers from imbalanced datasets is described. A dataset is imbalanced if the classification categories are not approximately equally represented. Often real-world data sets are pre…
Comments (0)
No comments yet. Be the first!
Log in to join the discussion