Adult

Donated on 4/30/1996

Predict whether annual income of an individual exceeds $50K/yr based on census data. Also known as "Census Income" 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's income is over $50,000 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

0 to 10 of 15

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.

Baseline Model Performance

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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Published in International Journal of Engineering Trends and Technology 67.3 (2019): 102-108.

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By Amrita Chowdhury, Chenghong Wang, Xi He, Ashwin Machanavajjhala, Somesh Jha. 2019

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Fair k-Center Clustering for Data Summarization

By Matthaus Kleindessner, Pranjal Awasthi, Jamie Morgenstern. 2019

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Effectiveness of Equalized Odds for Fair Classification under Imperfect Group Information

By Pranjal Awasthi, Matthaus Kleindessner, Jamie Morgenstern. 2019

Published in ArXiv.

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Creators

Barry Becker

Silicon Graphics

Ronny Kohavi

ronnyk@live.com

Consultant/Stanford

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