Machine Learning with scikit-learn Quick Start Guide by Kevin Jolly

Author:Kevin Jolly [Kevin Jolly]
Language: eng
Format: epub
Tags: COM037000 - COMPUTERS / Machine Theory, COM018000 - COMPUTERS / Data Processing, COM062000 - COMPUTERS / Data Modeling and Design
Publisher: Packt
Published: 2018-11-12T08:12:55+00:00

Classification and Regression with Trees

Tree based algorithms are very popular for two reasons: they are interpretable, and they make sound predictions that have won many machine learning competitions on online platforms, such as Kaggle. Furthermore, they have many use cases outside of machine learning for solving problems, both simple and complex.

Building a tree is an approach to decision-making used in almost all industries. Trees can be used to solve both classification- and regression-based problems, and have several use cases that make them the go-to solution!

This chapter is broadly divided into the following two sections:

Classification trees

Regression trees

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