The proportion for splitting data into training and test set for the bootstrap in classification problems
Year of publication: |
2021
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Authors: | Vrigazova, Borislava |
Published in: |
Business systems research : a system view accross technology & economics : the journal of Society for Advancing Innovation and Research in Economy. - Warsaw : De Gruyter, Versita, ISSN 1847-9375, ZDB-ID 2759390-3. - Vol. 12.2021, 1, p. 228-242
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Subject: | the bootstrap | classification | cross-validation | repeated train/test splitting | Bootstrap-Verfahren | Bootstrap approach | Klassifikation | Classification | Schätztheorie | Estimation theory | Statistische Methodenlehre | Statistical theory |
Type of publication: | Article |
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Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
Language: | English |
Other identifiers: | 10.2478/bsrj-2021-0015 [DOI] |
Classification: | c38 ; C52 - Model Evaluation and Testing ; c55 |
Source: | ECONIS - Online Catalogue of the ZBW |
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