地球资源数据云——数据资源详情
该数据集《Student Alcohol Consumption》主要用于二分类任务,数据形态以文本为主,应用场景偏向医疗健康。 题目说明:Social, gender and study data from secondary school students 任务类型:文本二分类。 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:student - mat.csv, student - por.csv。 <h2>Context:</h2> The data were obtained in a survey of students math and portuguese language courses in secondary school. It contains a lot of interesting social, gender and study information about students. You can use it for some EDA or try to predict students final grade. <h2>Content:</h2> Attributes for both student - mat.csv (Math course) and student - por.csv (Portuguese language course) datasets: 1. school - student's school (binary: 'GP' - Gabriel Pereira or 'MS' - Mousinho da Silveira)

该数据集《Student Alcohol Consumption》主要用于二分类任务,数据形态以文本为主,应用场景偏向医疗健康。 题目说明:Social, gender and study data from secondary school students
任务类型:文本二分类。
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:student - mat.csv, student - por.csv。
<h2>Context:</h2>
The data were obtained in a survey of students math and portuguese language courses in secondary school. It contains a lot of interesting social, gender and study information about students. You can use it for some EDA or try to predict students final grade.
<h2>Content:</h2>
Attributes for both student - mat.csv (Math course) and student - por.csv (Portuguese language course) datasets:
1. school - student's school (binary: 'GP' - Gabriel Pereira or 'MS' - Mousinho da Silveira)