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2026-01-25
相关数据集
data_unbalanced.csv
用于训练和测试机器学习模型的数据集，包含三个类别：60.2% Type0, 26.2% Type1和13.5% Type2，用于探索数据增强技术在不平衡分类问题中的应用。
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Evaluation results of different models using various data balancing method trees.
Evaluation results of different models using various data balancing method trees.
Figshare2025-08-07 更新90
Oversampling techniques for diabetes classification: A comparative study
Supplementary Material: In this study, several tests were conducted to evaluate the occurrence of overfitting when applying different oversampling variants and machine learning algorithms. Therefore,
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Level 3: Values of the weighted overall BA-RB-I coefficients and traditional performance measures for models derived from the training dataset across imbalance ranging from 1% to 99% of the event class.
Level 3: Values of the weighted overall BA-RB-I coefficients and traditional performance measures for models derived from the training dataset across imbalance ranging from 1% to 99% of the event clas
Figshare2025-04-10 更新80
