On the effectiveness of discretizing quantitative attributes in linear classifiers
Version 2 2024-06-05, 07:45
Version 1 2020-11-25, 05:35
journal contribution
posted on 2024-06-05, 07:45 authored by Nayyar ZaidiNayyar Zaidi, Y Du, GI WebbOn the effectiveness of discretizing quantitative attributes in linear classifiers
History
Journal
IEEE AccessVolume
8Pagination
198856-198871Location
Piscataway, N. J.Open access
- Yes
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ISSN
2169-3536eISSN
2169-3536Language
EnglishPublication classification
C1 Refereed article in a scholarly journalCopyright notice
2020, The AuthorsPublisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INCUsage metrics
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No categories selectedKeywords
Science & TechnologyTechnologyComputer Science, Information SystemsEngineering, Electrical & ElectronicTelecommunicationsComputer ScienceEngineeringDiscretizationclassificationlogistic regressionsupport vector classifierartificial neuronbig datasetsbias-variance analysisMISCLASSIFICATIONDICHOTOMIZATIONFaculty of Science Engineering and Built EnvironmentSchool of Information Technology4602 Artificial intelligence4605 Data management and data science
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