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Practical Machine Learning Cookbook by Atul Tripathi

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Chapter 2. Classification

In this chapter, we will cover the following recipes:

  • Discriminant function analysis - geological measurements on brines from wells
  • Multinomial logistic regression - understanding program choices made by students
  • Tobit regression - measuring students' academic aptitude
  • Poisson regression - understanding species present in Galapagos Islands

Introduction

Discriminant analysis is used to distinguish distinct sets of observations and allocate new observations to previously defined groups. For example, if a study was to be carried out in order to investigate the variables that discriminate between fruits eaten by (1) primates, (2) birds, or (3) squirrels, the researcher could collect data on numerous fruit characteristics of those ...

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