Abstract
As you’ve discovered in the previous chapter, there is a distinction in supervised machine learning models between linear and nonlinear models. In this chapter, you will discover the Decision Tree model. It is one of the simplest nonlinear machine learning models.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Author information
Authors and Affiliations
Rights and permissions
Copyright information
© 2021 The Author(s), under exclusive license to APress Media, LLC, part of Springer Nature
About this chapter
Cite this chapter
Korstanje, J. (2021). The Decision Tree Model. In: Advanced Forecasting with Python. Apress, Berkeley, CA. https://doi.org/10.1007/978-1-4842-7150-6_12
Download citation
DOI: https://doi.org/10.1007/978-1-4842-7150-6_12
Published:
Publisher Name: Apress, Berkeley, CA
Print ISBN: 978-1-4842-7149-0
Online ISBN: 978-1-4842-7150-6
eBook Packages: Professional and Applied ComputingApress Access BooksProfessional and Applied Computing (R0)