Census Income

Donated on 4/30/1996

Predict whether income exceeds $50K/yr based on census data. Also known as Adult dataset.

Dataset Characteristics

Multivariate

Subject Area

Social Science

Associated Tasks

Classification

Feature Type

Categorical, Integer

# Instances

48842

# Features

14

Dataset Information

Additional Information

Extraction was done by Barry Becker from the 1994 Census database. A set of reasonably clean records was extracted using the following conditions: ((AAGE>16) && (AGI>100) && (AFNLWGT>1)&& (HRSWK>0)) Prediction task is to determine whether a person makes over 50K a year.

Has Missing Values?

Yes

Variables Table

Variable NameRoleTypeDemographicDescriptionUnitsMissing Values
ageFeatureIntegerAgeN/Ano
workclassFeatureCategoricalIncomePrivate, Self-emp-not-inc, Self-emp-inc, Federal-gov, Local-gov, State-gov, Without-pay, Never-worked.yes
fnlwgtFeatureIntegerno
educationFeatureCategoricalEducation Level Bachelors, Some-college, 11th, HS-grad, Prof-school, Assoc-acdm, Assoc-voc, 9th, 7th-8th, 12th, Masters, 1st-4th, 10th, Doctorate, 5th-6th, Preschool.no
education-numFeatureIntegerEducation Levelno
marital-statusFeatureCategoricalOtherMarried-civ-spouse, Divorced, Never-married, Separated, Widowed, Married-spouse-absent, Married-AF-spouse.no
occupationFeatureCategoricalOtherTech-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.yes
relationshipFeatureCategoricalOtherWife, Own-child, Husband, Not-in-family, Other-relative, Unmarried.no
raceFeatureCategoricalRaceWhite, Asian-Pac-Islander, Amer-Indian-Eskimo, Other, Black.no
sexFeatureBinarySexFemale, Male.no

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Additional Variable Information

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. native-country: United-States, Cambodia, England, Puerto-Rico, Canada, Germany, Outlying-US(Guam-USVI-etc), India, Japan, Greece, South, China, Cuba, Iran, Honduras, Philippines, Italy, Poland, Jamaica, Vietnam, Mexico, Portugal, Ireland, France, Dominican-Republic, Laos, Ecuador, Taiwan, Haiti, Columbia, Hungary, Guatemala, Nicaragua, Scotland, Thailand, Yugoslavia, El-Salvador, Trinadad&Tobago, Peru, Hong, Holand-Netherlands.

Dataset Files

FileSize
adult.data3.8 MB
adult.test1.9 MB
adult.names5.1 KB
old.adult.names4.2 KB
Index140 Bytes

Papers Citing this Dataset

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Automated Data Slicing for Model Validation:A Big data - AI Integration Approach

By Yeounoh Chung, Tim Kraska, Neoklis Polyzotis, Ki Tae, Steven Whang. 2018

Published in IEEE Transactions on Knowledge and Data Engineering.

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Keywords

Creators

Ron Kohavi

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