MinaMila/GermanCredit_train_cfda_lr_33

该数据集包含了用户现有账户状态、贷款目的、个人详细信息（如性别、住房状况、工作状况、婚姻状况）以及一些数值型特征（如贷款期限、贷款金额、年龄）。同时，数据集还包含一个标签特征，可能用于分类。数据集分为训练集和测试集，其中训练集包含1400个样本。此外，还提供了数据集的下载大小和总大小。数据集名称为GermanCredit_train_cfda_lr_33。

The dataset includes features such as the status of existing checking accounts, purpose of credit, personal details like sex, housing status, job status, marital status, and numerical features like duration in months, credit amount, and age. It also contains a label feature which is likely used for classification. The dataset is split into train and test sets, with the train set containing 1400 examples. The datasets download size and total size are provided. The name of the dataset is GermanCredit_train_cfda_lr_33.