Databoost/optimized_adult_census

该数据集名为Adult Census Income Dataset Optimized，是Adult Census Income Dataset的优化版本，后者来自UCI机器学习库，通常用于分类任务，以预测一个人年收入是否超过50,000美元。优化后的数据集增加了两个新列：capital_gain_loss_ratio和age_group，以丰富特征质量，旨在提高模型性能。数据来源于美国人口普查局的美国人口普查调查，包含17列和32,562行数据。该数据集主要用于机器学习研究，特别是用于测试、训练和评估分类模型（如逻辑回归、决策树、SVM），并具有多种AI应用场景，包括个人收入预测、经济不平等评估、招聘策略改进和人口趋势分析。

The Adult Census Income Dataset Optimized is an optimized version of the Adult Census Income Dataset, primarily used for classification tasks to predict whether an individuals annual income exceeds $50,000. The dataset adds two new columns: capital_gain_loss_ratio and age_group, to enrich the features and improve model performance. The data originates from the U.S. Census Bureaus demographic census survey and includes demographic and economic characteristics such as age, sex, marital status, occupation, race, income, hours worked per week, and capital gains/losses. The primary purpose of the dataset is to study the influence of certain socio-economic and demographic characteristics on individual income, suitable for machine learning analysis and data studies.