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Learn about support vector machine in R with data from the Adult Census Income dataset (1996) /

This dataset is designed for teaching the support vector machine (SVM) methodology. The dataset is a subset of the 1996 Adult Census Income dataset, and the example demonstrates how to use the SVM to predict the annual income classification of an individual with his/her features such as demographics...

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Bibliographic Details
Main Author: Shi, Feng, active 2019 (Author)
Corporate Author: Odum Institute (Author)
Format: eBook
Language:English
Published: London : SAGE Publications, Ltd., 2019.
Subjects:
Support vector machines.
Income.
Demographic surveys.
Machines à vecteurs supports.
Revenu.
Enquêtes démographiques.
Demographic surveys
Income
Support vector machines
Online Access:Connect to the full text of this electronic book
Description
Summary:This dataset is designed for teaching the support vector machine (SVM) methodology. The dataset is a subset of the 1996 Adult Census Income dataset, and the example demonstrates how to use the SVM to predict the annual income classification of an individual with his/her features such as demographics, working status, marital status, etc. The dataset file is accompanied by a Teaching Guide, a Student Guide, and a How-to Guide for R.
Physical Description:1 online resource : illustrations
ISBN:9781526495471
1526495473