该数据集包含四个特征：原始文本（text_original）、性别歧视标签（label_sexist，分为not sexist和sexist两类）、任务2相关文本（task2）和文本内容（text）。数据集分为训练集、验证集和测试集，分别包含5564、1391和4311个样本。数据集的下载大小为3040737字节，总大小为4362688.0字节。

Hugging Face2023-12-11 更新410

Groups C and D model of the colon; AUC and confusion matrix.

结肠疾病

分类模型评估

Groups C and D model of the colon; AUC and confusion matrix.

NIAID Data Ecosystem40

Confusion or loss matrix – classification of observed versus predicted presence (‘Yes’) and absences (‘No’) from Bayesian CART model.

分类模型评估

贝叶斯决策树

Confusion or loss matrix – classification of observed versus predicted presence (‘Yes’) and absences (‘No’) from Bayesian CART model.

Figshare2015-12-02 更新30

The observed and predicted frequencies for rejection by logistic regression with cutoff of 0.50.