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

Author
Shi, Feng, active 2019
Published
London : SAGE Publications, Ltd., 2019.
Physical Description
1 online resource : illustrations
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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.
Subject(s)
ISBN
9781526495716 (online resource)
Bibliography Note
Includes bibliographical references and index.
View MARC record | catkey: 47375157