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Cost-Sensitive Machine Learning (Chapman & Hall/CRC Machine Learning & Pattern Recognition)

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 | #4681688 in Books |  2011-12-19 | Original language:English | PDF # 1 |  9.30 x.90 x6.20l,1.30 | File type: PDF | 331 pages

||About the Author||Balaji Krishnapuram is a senior R&D manager at Siemens Medical Solutions. He earned a Ph.D. in electrical and computer engineering from Duke University. His research interests include statistical data mining and information ret

In machine learning applications, practitioners must take into account the cost associated with the algorithm. These costs include:

  • Cost of acquiring training data
  • Cost of data annotation/labeling and cleaning
  • Computational cost for model fitting, validation, and testing
  • Cost of collecting features/attributes for test data
  • Cost of user feedback collection
  • Cost of incorrect prediction/classificatio...

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