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CHAPTER Logistic Regression

Speech and Language Processing. Daniel Jurafsky & James H. Martin. Copyrightc 2019. Allrights reserved. Draft of October 2, Regression And how do you know that these fine begonias are not of equal importance? Hercule Poirot, in Agatha Christie sThe Mysterious Affair at StylesDetective stories are as littered with clues as texts are with words. Yet for thepoor reader it can be challenging to know how to weigh the author s clues in orderto make the crucial classification task: deciding this CHAPTER we introduce an algorithm that is admirably suited for discoveringthe link between features or cues and some particular outcome: Logistic , Logistic Regression is one of the most important analytic tools in the socialand natural sciences.

Generative and Discriminative Classifiers: The most important difference be-tween naive Bayes and logistic regression is that logistic regression is a discrimina-tive classifier while naive Bayes is a generative classifier. These are two very different frameworks for how to build a machine learning model. Consider a visual

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