ngtranai09/TTHybridImbalance
收藏Hugging Face2025-11-11 更新2025-11-15 收录
下载链接：
https://hf-mirror.com/datasets/ngtranai09/TTHybridImbalance
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资源简介：
该数据集包含了不同模型在不同处理策略（如平滑标签、成本敏感、重采样、类别平衡、焦点损失等）下的性能指标，包括准确率、宏F1分数、加权F1分数、精确度和召回率等。数据集分为训练集，共有10个示例，数据大小为2257字节。
The dataset includes performance metrics of different models under various processing strategies (such as SmoothLabels, CostSensitive, Resample, ClassBalance, FocalLoss, etc.), including accuracy, macro F1 score, weighted F1 score, precision, and recall. The dataset is split into a training set with a total of 10 examples and a size of 2257 bytes.
提供机构：
ngtranai09
