地球资源数据云——数据资源详情
该数据集《SA - ME Happiness Index》主要用于回归/预测任务,数据形态以表格为主,应用场景偏向金融风控。 题目说明:Education, Income & Life Satisfaction Metrics 任务类型:表格回归/预测。 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:2023_SouthAsia_MiddleEast_Happiness_Education_Income.csv。 I built this dataset to answer one big question: Can people in developing regions be happier without being rich? I combined data from trusted global reports to compare happiness, education, and money in 14 South Asian and Middle Eastern countries. What’s Inside? Happiness Scores (0–10 scale from the 2023 World Happiness Report) Education Stats: Literacy rates, school enrollment (offline), and % of people using online learning (UNESCO + government surveys) Money Metrics: GDP per person, average income, unemployment, and poverty rates (World Bank)

该数据集《SA - ME Happiness Index》主要用于回归/预测任务,数据形态以表格为主,应用场景偏向金融风控。 题目说明:Education, Income & Life Satisfaction Metrics
任务类型:表格回归/预测。
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:2023_SouthAsia_MiddleEast_Happiness_Education_Income.csv。
I built this dataset to answer one big question: Can people in developing regions be happier without being rich? I combined data from trusted global reports to compare happiness, education, and money in 14 South Asian and Middle Eastern countries.
What’s Inside?
Happiness Scores (0–10 scale from the 2023 World Happiness Report)
Education Stats: Literacy rates, school enrollment (offline), and % of people using online learning (UNESCO + government surveys)
Money Metrics: GDP per person, average income, unemployment, and poverty rates (World Bank)