Age-Gender

该数据集主要关注根据年龄和性别条件来确定资格，它采用了简化版的原始福利资格标准模型。此外，该数据集将资格标准简化，仅关注年龄和性别这两个因素。该数据集包含2400个实例，其任务是评估神经网络在判定福利收益资格方面的准确性。

This dataset primarily focuses on determining eligibility based on age and gender criteria, and adopts a simplified version of the original welfare eligibility standard model. Furthermore, this dataset simplifies the eligibility criteria, only focusing on these two factors (age and gender). It contains 2,400 instances, and its task is to evaluate the accuracy of neural networks in determining welfare benefit eligibility.