地球资源数据云——数据资源详情

学生生活的心理社会维度

发布时间：2026-03-17 14:32:10资源ID：2031261923319123969资源类型：免费

该数据集《Psychosocial Dimensions of Student Life》主要用于监督学习任务，数据形态以文本为主，应用场景偏向医疗健康。 题目说明：Multifaceted Computer Science Students Data To Identify Depression Level 任务类型：文本监督学习。 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：CSE_student_performances.csv。 This dataset comprises survey results from 100 computer science students, aiming to identify correlations between their depression levels, class performance, and ADHD patterns through data analysis. Here's a brief description of each column: Age: Represents the age of the individuals in the dataset, providing insight into the age distribution of the study. Gender:

学生生活的心理社会维度

摘要概览

该数据集《Psychosocial Dimensions of Student Life》主要用于监督学习任务，数据形态以文本为主，应用场景偏向医疗健康。 题目说明：Multifaceted Computer Science Students Data To Identify Depression Level

任务类型：文本监督学习。

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：CSE_student_performances.csv。

This dataset comprises survey results from 100 computer science students, aiming to identify correlations between their depression levels, class performance, and ADHD patterns through data analysis.

Here's a brief description of each column:

Age:

Represents the age of the individuals in the dataset, providing insight into the age distribution of the study.

Gender: