Adult data set

1: Description.

The Adult data set was extracted in 1994 from census data of the United States. It contains continuous and nominal attributes, describing some social information (age, race, sex, marital status, ...) about the citizens registered.

The task is to predict whether the citizen’s income exceeds fifty thousand dollars a year.

2: Type.			Classification	
3: Origin.			Real World
4: Instances.		45222 (48842) 
5: Features.		14
6: Classes.			2	
7: Missing values.	Yes

8: Header.
@relation adult
@attribute Age real [17.0, 90.0]
@attribute Workclass {Private, Self-emp-not-inc, Self-emp-inc, Federal-gov, Local-gov, State-gov, Without-pay, Never-worked}
@attribute Fnlwgt real [12285.0, 1490400.0]
@attribute 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}
@attribute Education-num real [1.0, 16.0]
@attribute Marital-status {Married-civ-spouse, Divorced, Never-married, Separated, Widowed, Married-spouse-absent, Married-AF-spouse}
@attribute 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}
@attribute Relationship {Wife, Own-child, Husband, Not-in-family, Other-relative, Unmarried}
@attribute Race {White, Asian-Pac-Islander, Amer-Indian-Eskimo, Other, Black}
@attribute Sex {Female, Male}
@attribute Capital-gain real [0.0, 99999.0]
@attribute Capital-loss real [0.0, 4356.0]
@attribute Hours-per-week real [1.0, 99.0]
@attribute 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}
@attribute Class {>50K, <=50K}
@inputs Age, Workclass, Fnlwgt, Education, Education-num, Marital-status, Occupation, Relationship, Race, Sex, Capital-gain, Capital-loss, Hours-per-week, Native-country
@outputs Class