幸福感预测数据集

考虑到变量个数较多，部分变量间关系复杂，数据分为完整版和精简版两类。可从精简版入手熟悉赛题后，使用完整版挖掘更多信息。complete文件为变量完整版数据，abbr文件为变量精简版数据。index文件中包含每个变量对应的问卷题目，以及变量取值的含义。survey文件是数据源的原版问卷，作为补充以方便理解问题背景。
赛题使用公开数据的问卷调查结果，选取其中多组变量，包括个体变量（性别、年龄、地域、职业、健康、婚姻与政治面貌等等）、家庭变量（父母、配偶、子女、家庭资本等等）、社会态度（公平、信用、公共服务等等），来预测其对幸福感的评价。

Given the large number of variables and complex relationships between some of them, the dataset is split into two versions: the full version and the abbreviated version. Participants can start with the abbreviated version to familiarize themselves with the competition task, then use the full version to uncover more in-depth information. The 'complete' file contains the full set of variables, while the 'abbr' file holds the abbreviated set of variables. The 'index' file includes the questionnaire items corresponding to each variable and the meaning of each variable's value. The 'survey' file is the original questionnaire of the data source, serving as supplementary material to help understand the background of the research questions.

The competition task uses questionnaire results from public datasets, selecting multiple sets of variables including individual variables (gender, age, region, occupation, health status, marital status, political affiliation, etc.), household variables (parents, spouse, children, household capital, etc.), and social attitudes (fairness, trust, public services, etc.) to predict respondents' subjective well-being ratings.

搜集汇总

背景与挑战

背景概述

幸福感预测数据集包含来自问卷调查的多维度变量（个体、家庭和社会态度等），分为完整版和精简版两种格式，旨在通过这些变量预测个体的幸福感评价。该数据集适用于数据挖掘和机器学习任务，特别是与社会科学相关的预测分析。