地球资源数据云——数据资源详情
性别分类
该数据集《Gender Classification》主要用于多分类任务，数据形态以文本为主，应用场景偏向文本内容分析。 题目说明：Classifying gender based on personal preferences 任务类型：文本多分类。 建议流程：先做文本清洗与分词，再比较 TF - IDF+线性模型 与 预训练语言模型。 评估建议：使用分层切分或交叉验证，优先关注 F1、Recall、AUC 等分类指标。 可用文件：Transformed Data Set - Sheet1.csv。 Context Gender is a social construct. The way males and females are treated differently since birth molds their behavior and personal preferences into what society expects for their gender. This small dataset is designed to provide an idea about whether a person's gender can be predicted with an accuracy significantly above 50% based on their personal preferences. Content The data was collected in Fall 2015 from university students of 21 nationalities studying various majors in various countries using this form:
摘要概览
该数据集《Gender Classification》主要用于多分类任务，数据形态以文本为主，应用场景偏向文本内容分析。 题目说明：Classifying gender based on personal preferences
任务类型：文本多分类。
建议流程：先做文本清洗与分词，再比较 TF - IDF+线性模型 与 预训练语言模型。
评估建议：使用分层切分或交叉验证，优先关注 F1、Recall、AUC 等分类指标。
可用文件：Transformed Data Set - Sheet1.csv。
Context
Gender is a social construct. The way males and females are treated differently since birth molds their behavior and personal preferences into what society expects for their gender.
This small dataset is designed to provide an idea about whether a person's gender can be predicted with an accuracy significantly above 50% based on their personal preferences.
Content
The data was collected in Fall 2015 from university students of 21 nationalities studying various majors in various countries using this form: