Distributed Machine Learning with PySpark: Migrating Effortlessly from Pandas and Scikit-Learn

© The Author(s), under exclusive license to APress Media, LLC, part of Springer Nature 2023

A. TestasDistributed Machine Learning with PySparkhttps://doi.org/10.1007/978-1-4842-9751-3_6

6. Gradient-Boosted Tree Regression with Pandas, Scikit-Learn, and PySpark

Abdelaziz Testas¹  

(1)

Fremont, CA, USA

 

In this chapter, we continue with supervised learning and tree-based regression. Specifically, we develop a gradient-boosted tree (GBT) regression model using the same housing dataset we used for decision tree and random forest regression in the preceding chapters. This way, we can have a better idea about which tree type performs better by comparing their performance metrics.

There are similarities between random forest and GBT regression models. The ...