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

Varying the classification threshold in logistic regression

Getting ready

We will use the fact that underlying the logistic regression classification, there is regression to minimize the number of times people were sent home for not having diabetes although they do. Do so by calling the predict_proba() method of the estimator:

y_pred_proba = lr.predict_proba(X_test)

This yields an array of probabilities. View the array:

y_pred_proba

array([[ 0.87110309,  0.12889691],
       [ 0.83996356,  0.16003644],
       [ 0.81821721,  0.18178279],
       [ 0.73973464,  0.26026536],
       [ 0.80392034,  0.19607966], ...

In the first row, a probability of about 0.87 is assigned to class 0 and a probability of 0.13 is assigned to 1. Note that...

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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.
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