You're reading from scikit-learn Cookbook - Second Edition

Product typeBook

Published inNov 2017

Reading LevelIntermediate

PublisherPackt

ISBN-139781787286382

Edition2nd Edition

Languages

Python

Tools

Scikit-learn

Concepts

Machine Learning

Author (1)

Trent Hauck

Evaluating the linear regression model

In this recipe, we'll look at how well our regression fits the underlying data. We fitted a regression in the last recipe, but didn't pay much attention to how well we actually did it. The first question after we fitted the model was clearly, how well does the model fit? In this recipe, we'll examine this question.

Getting ready

Let's use the lr object and Boston dataset—reach back into your code from the Fitting a line through data recipe. The lr object will have a lot of useful methods now that the model has been fit.

How to do it...

...

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scikit-learn Cookbook - Second Edition

Published in: Nov 2017Publisher: PacktISBN-13: 9781787286382

Author (1)

Trent Hauck

Trent Hauck is a data scientist living and working in the Seattle area. He grew up in Wichita, Kansas and received his undergraduate and graduate degrees from the University of Kansas. He is the author of the book Instant Data Intensive Apps with pandas How-to, Packt Publishing—a book that can get you up to speed quickly with pandas and other associated technologies.
Read more about Trent Hauck

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