R and Python Source Code

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Authors: Steven W. Knox
Cited by: 0

Abstract

Chapter 14 shows how to implement almost every method of training and applying a classifier described in Chapters 4 and 6, using risk-estimation and model-selection methods described in Chapter 7 and optimization methods described in Chapter 10. Every piece of code is provided twice, once in R and once in Python.

Fields of Study & Subjects

Machine Learning and Data Classification Machine Learning and Algorithms Data Mining and Machine Learning Applications

Publication details

Journal / source
Machine Learning
Pages
287–350
Publication date
22 January 2026
Language
EN