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Learn about cross validation in R with data from the Adult Census Income dataset (1996) /

This dataset is designed for teaching the cross validation in machine learning. The dataset is a subset of data derived from the 1996 Adult Census Income dataset, and the example demonstrates how to use the cross validation to search for optimal values for user-specified parameters when using random...

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Bibliographic Details
Main Author: Shi, Feng, active 2019 (Author)
Format: eBook
Language:English
Published: London : SAGE Publications, Ltd., 2019.
Subjects:
Regression analysis.
Machine learning.
Income.
Analyse de régression.
Apprentissage automatique.
Revenu.
Income
Machine learning
Regression analysis
Online Access:Connect to the full text of this electronic book
Description
Summary:This dataset is designed for teaching the cross validation in machine learning. The dataset is a subset of data derived from the 1996 Adult Census Income dataset, and the example demonstrates how to use the cross validation to search for optimal values for user-specified parameters when using random forest to predict annual income class with individual 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
Bibliography:Includes bibliographical references and index.
ISBN:9781526495716
1526495716