Classifier Workflow:: Step-by-step Guide for the Comparison of Machine Learning Classification Techniques - Zanifa Omary - Books - LAP Lambert Academic Publishing - 9783838340845 - June 24, 2010
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Classifier Workflow:: Step-by-step Guide for the Comparison of Machine Learning Classification Techniques

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As the interest in machine learning and data mining springs up, the problem of how to assess learning algorithms and compare classifiers become more pressing. This has been associated with the lack of comprehensive and complete workflow depending on the project scale to provide guidance to its users. This means the success or failure of machine learning project can be highly dependent on the person or team carrying it and their existing knowledge on machine learning. Classifier Workflow provides eight-steps that machine learning experimenter have to follow while comparing machine learning classification techniques.

Media Books     Paperback Book   (Book with soft cover and glued back)
Released June 24, 2010
ISBN13 9783838340845
Publishers LAP Lambert Academic Publishing
Pages 148
Dimensions 225 × 8 × 150 mm   ·   238 g
Language German