Cost-sensitive machine learning
In machine learning applications, practitioners must take into account the cost associated with the algorithm. These costs include: Cost of acquiring training dataCost of data annotation/labeling and cleaningComputational cost for model fitting, validation, and testingCost of collecting features/att...
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Other Authors: | , |
Format: | eBook |
Language: | English |
Published: |
Boca Raton, FL
CRC Press
2012
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Series: | Chapman & Hall/CRC machine learning & pattern recognition series
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Subjects: | |
Online Access: | |
Collection: | O'Reilly - Collection details see MPG.ReNa |
Summary: | In machine learning applications, practitioners must take into account the cost associated with the algorithm. These costs include: Cost of acquiring training dataCost of data annotation/labeling and cleaningComputational cost for model fitting, validation, and testingCost of collecting features/attributes for test dataCost of user feedback collectionCost of incorrect prediction/classificationCost-Sensitive Machine Learning is one of the first books to provide an overview of the current research efforts and problems in this area. It discusses real-world applications that incorporate the cost o |
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Physical Description: | 1 online resource illustrations |
ISBN: | 9781466548176 9781439839287 143983928X |