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Python 3 Text Processing with NLTK 3 Cookbook - Second Edition
book

Python 3 Text Processing with NLTK 3 Cookbook - Second Edition

by Jacob Perkins
August 2014
Beginner to intermediate
304 pages
7h 10m
English
Packt Publishing
Content preview from Python 3 Text Processing with NLTK 3 Cookbook - Second Edition

Combining classifiers with voting

One way to improve classification performance is to combine classifiers. The simplest way to combine multiple classifiers is to use voting, and choose whichever label gets the most votes. For this style of voting, it's best to have an odd number of classifiers so that there are no ties. This means combining at least three classifiers together. The individual classifiers should also use different algorithms; the idea is that multiple algorithms are better than one, and the combination of many can compensate for individual bias. However, combining a poorly performing classifier with better performing classifiers is generally not a good idea, because the poor performance of one classifier can bring the total accuracy ...

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Publisher Resources

ISBN: 9781782167853