地球资源数据云——数据资源详情
收入分类
该数据集《Income classification》主要用于多分类任务，数据形态以表格为主，应用场景偏向交通/汽车。 题目说明：Prediction task is to determine whether a person makes over 50K a year. 任务类型：表格多分类。 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：income_evaluation.csv。 Listing of attributes: 50K, <=50K. age: continuous. workclass: Private, Self - emp - not - inc, Self - emp - inc, Federal - gov, Local - gov, State - gov, Without - pay, Never - worked. fnlwgt: continuous. education: Bachelors, Some - college, 11th, HS - grad, Prof - school, Assoc - acdm, Assoc - voc, 9th, 7th - 8th, 12th, Masters, 1st - 4th, 10th, Doctorate, 5th - 6th, Preschool. education - num: continuous. marital - status: Married - civ - spouse, Divorced, Never - married, Separated, Widowed, Married - spouse - absent, Married - AF - spouse. occupation: Tech - support, Craft - repair, Other - service, Sales, Exec - managerial, Prof - specialty, Handlers - cleaners, Machine - op - inspct, Adm - clerical, Farming - fishing, Transport - moving, Priv - house - serv, Protective - serv, Armed - Forces. relationship: Wife, Own - child, Husband, Not - in - family, Other - relative, Unmarried. race: White, Asian - Pac - Islander, Amer - Indian - Eskimo, Other, Black. sex: Female, Male. capital - gain: continuous. capital - loss: continuous. hours - per - week: continuous.
摘要概览
该数据集《Income classification》主要用于多分类任务，数据形态以表格为主，应用场景偏向交通/汽车。 题目说明：Prediction task is to determine whether a person makes over 50K a year.
任务类型：表格多分类。
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：income_evaluation.csv。
Listing of attributes:
50K, <=50K.
age: continuous. workclass: Private, Self - emp - not - inc, Self - emp - inc, Federal - gov, Local - gov, State - gov, Without - pay, Never - worked. fnlwgt: continuous. education: Bachelors, Some - college, 11th, HS - grad, Prof - school, Assoc - acdm, Assoc - voc, 9th, 7th - 8th, 12th, Masters, 1st - 4th, 10th, Doctorate, 5th - 6th, Preschool. education - num: continuous.
marital - status: Married - civ - spouse, Divorced, Never - married, Separated, Widowed, Married - spouse - absent, Married - AF - spouse. occupation: Tech - support, Craft - repair, Other - service, Sales, Exec - managerial, Prof - specialty, Handlers - cleaners, Machine - op - inspct, Adm - clerical, Farming - fishing, Transport - moving, Priv - house - serv, Protective - serv, Armed - Forces.
relationship: Wife, Own - child, Husband, Not - in - family, Other - relative, Unmarried. race: White, Asian - Pac - Islander, Amer - Indian - Eskimo, Other, Black. sex: Female, Male. capital - gain: continuous. capital - loss: continuous. hours - per - week: continuous.