Abstract
In this chapter we cover some of the basic principles of supervised machine learning. We mainly consider the two-class problem, but also cover some multiclass prediction.We introduce some of the basic concepts in machine learning such as the distance function, the socalled confusion matrix , and cross-validation. We make extensive use of the MLInterfaces package.
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© 2008 Springer Science+Business Media, LLC
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Gentleman, R., Huber, W., Carey, V.J. (2008). Supervised Machine Learning. In: Bioconductor Case Studies. Use R!. Springer, New York, NY. https://doi.org/10.1007/978-0-387-77240-0_9
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DOI: https://doi.org/10.1007/978-0-387-77240-0_9
Publisher Name: Springer, New York, NY
Print ISBN: 978-0-387-77239-4
Online ISBN: 978-0-387-77240-0
eBook Packages: Mathematics and StatisticsMathematics and Statistics (R0)