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Published in:
2019 | OriginalPaper | Chapter
5. Classification
Authors : Gopinath Rebala, Ajay Ravi, Sanjay Churiwala
Published in: An Introduction to Machine Learning
Publisher: Springer International Publishing
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Abstract
Classification refers to the problem of identifying the category to which an input belongs to among a possible set of categories. The possible set of categories are labelled, and models are generally learned from training data. Classification models can be created using simple thresholds, regression techniques, or other machine learning techniques like Neural Networks, Random Forests, or Markov models.