Abstract
In the preceding chapter, we developed a decision tree regression model to predict house prices. In this chapter, we introduce an alternative model known as random forest. Despite both regression models utilizing decision trees, they exhibit notable distinctions.
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© 2023 The Author(s), under exclusive license to APress Media, LLC, part of Springer Nature
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Testas, A. (2023). Random Forest Regression with Pandas, Scikit-Learn, and PySpark. In: Distributed Machine Learning with PySpark. Apress, Berkeley, CA. https://doi.org/10.1007/978-1-4842-9751-3_5
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DOI: https://doi.org/10.1007/978-1-4842-9751-3_5
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Publisher Name: Apress, Berkeley, CA
Print ISBN: 978-1-4842-9750-6
Online ISBN: 978-1-4842-9751-3
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