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Building Machine Learning Systems with Python - Third Edition
book

Building Machine Learning Systems with Python - Third Edition

by Luis Pedro Coelho, Willi Richert, Matthieu Brucher
July 2018
Beginner to intermediate
406 pages
9h 55m
English
Packt Publishing
Content preview from Building Machine Learning Systems with Python - Third Edition

Slimming the classifier

It is always worth looking at the actual contributions of the individual features. For logistic regression, we can directly take the learned coefficients (clf.coef_) to get an impression of the features' impact:

We see that NumCodeLines, LinkCount, AvgWordLen, and NumTextTokens have the highest positive impact on determining whether a post is a good one, while AvgWordLen, LinkCount, and NumCodeLines have a say in that as well, but much less so. This means that being more verbose will more likely result in a classification as a good answer.

On the other side, we have NumAllCaps and NumExclams have negative weights one. ...

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Publisher Resources

ISBN: 9781788623223