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Predicting the Success of Bank Telemarketing using various Classification Algorithms
Örebro University, Örebro University School of Business.
2018 (English)Independent thesis Advanced level (degree of Master (Two Years)), 10 credits / 15 HE creditsStudent thesis
Place, publisher, year, edition, pages
2018. , p. 24
National Category
Probability Theory and Statistics
Identifiers
URN: urn:nbn:se:oru:diva-67994OAI: oai:DiVA.org:oru-67994DiVA, id: diva2:1233529
Subject / course
Statistik
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Available from: 2018-07-18 Created: 2018-07-18 Last updated: 2018-07-18Bibliographically approved

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fulltext(634 kB)38 downloads
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File name FULLTEXT01.pdfFile size 634 kBChecksum SHA-512
d0fef29b1246bfd02f344fafec5f8e0b724b746ec85a9c72dc02a5591a480fa2d57b43be18cebc14a865d2f69ae770f431dce6e6c60db985f96e642009df0d7c
Type fulltextMimetype application/pdf

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Örebro University School of Business
Probability Theory and Statistics

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CiteExportLink to record
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Citation style
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  • en-US
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