Chapter 6

Instance-Based Learning: A Survey

Charu C. Aggarwal

IBM T. J. Watson Research CenterYorktown Heights, NY charu@us.ibm.com

6.1 Introduction

Most classification methods are based on building a model in the training phase, and then using this model for specific test instances, during the actual classification phase. Thus, the classification process is usually a two-phase approach that is cleanly separated between processing training and test instances. As discussed in the introduction chapter of this book, these two phases are as follows:

  • Training Phase: In this phase, a model is constructed from the training instances.
  • Testing Phase: In this phase, the model is used to assign a label to an unlabeled test instance.

Examples of models ...

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