地球资源数据云——数据资源详情
生活方式和健康数据
该数据集《Lifestyle_and_Wellbeing_Data》主要用于多分类任务，数据形态以文本为主，应用场景偏向医疗健康。 题目说明：12,757 survey responses with 23 attributes describing our lifestyle & behavior 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：Wellbeing_and_lifestyle_data_Kaggle.csv。 Latest version uploaded on 14 March 2021: 1. Added 2020 data until 14 March 2021 2. Changed label from DAILY MEDITATION to WEEKLY MEDITATION. If you refer to the survey, DAILY was a typo. 3. Added a new column with the WORK LIFE BALANCE SCORE that participants received in the first email Context
摘要概览
该数据集《Lifestyle_and_Wellbeing_Data》主要用于多分类任务，数据形态以文本为主，应用场景偏向医疗健康。 题目说明：12,757 survey responses with 23 attributes describing our lifestyle & behavior
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：Wellbeing_and_lifestyle_data_Kaggle.csv。
Latest version uploaded on 14 March 2021:
1. Added 2020 data until 14 March 2021
2. Changed label from DAILY MEDITATION to WEEKLY MEDITATION. If you refer to the survey, DAILY was a typo.
3. Added a new column with the WORK LIFE BALANCE SCORE that participants received in the first email
Context