地球资源数据云——数据资源详情
IBM 员工数据集
该数据集《IBM Employee Dataset》主要用于监督学习任务，数据形态以文本为主，应用场景偏向环保分类。 题目说明：Predict Employee Attrition 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：test.csv, train.csv。 Context Watson Analytics Sample Data Uncover the factors that lead to employee attrition and explore important questions such as ‘show me a breakdown of distance from home by job role and attrition’ or ‘compare average monthly income by education and attrition’. This is a fictional data set created by IBM data scientists Content This the data about the employee on various factor influencing the attrition from the company. Predict the Attrition of an employee based on the various factor given
摘要概览
该数据集《IBM Employee Dataset》主要用于监督学习任务，数据形态以文本为主，应用场景偏向环保分类。 题目说明：Predict Employee Attrition
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：test.csv, train.csv。
Context
Watson Analytics Sample Data
Uncover the factors that lead to employee attrition and explore important questions such as ‘show me a breakdown of distance from home by job role and attrition’ or ‘compare average monthly income by education and attrition’. This is a fictional data set created by IBM data scientists
Content
This the data about the employee on various factor influencing the attrition from the company. Predict the Attrition of an employee based on the various factor given