地球资源数据云——数据资源详情
该数据集《IBM HR Analytics Employee Attrition & Performance》主要用于监督学习任务,数据形态以表格为主,应用场景偏向环保分类。 题目说明:Predict attrition of your valuable employees 任务类型:表格监督学习。 建议流程:先做缺失值/异常值处理与特征编码,再比较逻辑回归、随机森林、XGBoost。 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:WA_Fn - UseC_ - HR - Employee - Attrition.csv。 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. Education 1 'Below College' 2 'College' 3 'Bachelor' 4 'Master' 5 'Doctor' EnvironmentSatisfaction 1 'Low' 2 'Medium' 3 'High' 4 'Very High' JobInvolvement 1 'Low' 2 'Medium' 3 'High' 4 'Very High' JobSatisfaction 1 'Low' 2 'Medium' 3 'High' 4 'Very High'

该数据集《IBM HR Analytics Employee Attrition & Performance》主要用于监督学习任务,数据形态以表格为主,应用场景偏向环保分类。 题目说明:Predict attrition of your valuable employees
任务类型:表格监督学习。
建议流程:先做缺失值/异常值处理与特征编码,再比较逻辑回归、随机森林、XGBoost。
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:WA_Fn - UseC_ - HR - Employee - Attrition.csv。
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.
Education 1 'Below College' 2 'College' 3 'Bachelor' 4 'Master' 5 'Doctor'
EnvironmentSatisfaction 1 'Low' 2 'Medium' 3 'High' 4 'Very High'
JobInvolvement 1 'Low' 2 'Medium' 3 'High' 4 'Very High'
JobSatisfaction 1 'Low' 2 'Medium' 3 'High' 4 'Very High'
该数据集《IBM HR Analytics Employee Attrition & Performance》主要用于监督学习任务,数据形态以表格为主,应用场景偏向环保分类。
数据格式为 CSV。
该数据集时间尺度包含月尺度。
在本页登录后即可下载。建议引用格式:地球资源数据云. IBM HR Analytics 员工流失与绩效. https://www.gis5g.com/dataset/2031995973348528130