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 |
Table of Contents:
- Includes bibliographical references
- pt. 1. Theoretical underpinnings of cost-sensitive machine learning
- pt. 2. Cost-sensitive machine learning applications