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Tackling Class Imbalance with Ranking.

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DataCite Commons2020-09-20 更新2024-07-13 收录
下载链接:
https://rdm.inesctec.pt/dataset/nis-2017-002
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资源简介:
The dataset comes originally from UCI Machine Learning. The multiclass datasets were transformed in binary classification as mentioned in the paper. Ranking methods were applied to improve class imbalance. The datasets are divided in 30 folds so that other class imbalance methods can be compared to the methods in the paper. The code used in the paper is also provided.
提供机构:
INESC TEC
创建时间:
2018-11-15
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