Adult Data Set (Census)

Prediction on a 1994 Census database. It aims to determine whether a person makes over 50K a year using the following conditions: ((AAGE>16) && (AGI>100) && (AFNLWGT>1)&& (HRSWK>0))
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Data Types: Multivariate

Default Task: Classification

Attribute Types: Categorical, Integer

Format: csv

Number of Entries: 48842

Number of Attributes: 14

Year: 1996

Source: UCI Machine Learning Repository - extracted from the census bureau database found here

Attributes

• age
• workclass
• fnlwgt
• education
• marital-status
• occupation
• relationship
• race
• sex
• capital-gain
• capital-loss
• hours-per-week
• native-country

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Reference

Lichman, M. (2013). UCI Machine Learning Repository [http://archive.ics.uci.edu/ml]. Irvine, CA: University of California, School of Information and Computer Science.

 {
 @misc{Lichman:2013 ,
 author = "M. Lichman",
 year = "2013",
 title = "{UCI} Machine Learning Repository",
 url = "http://archive.ics.uci.edu/ml",
 institution = "University of California, Irvine, School of Information and Computer Sciences" }
 }

Please refer to the Machine Learning Repository for further citation requirements.