Full Article: PDF
Scientific Object Identifier: http://s-o-i.org/1.1/TAS-03-59-24
DOI: https://dx.doi.org/10.15863/TAS.2018.03.59.24
Language: Russian
Citation: Soboleva AD, Sabinin OY (2018) ENSEMBLE LEARNING METHOD DEVELOPMENT FOR SOLVING THE PREDICTION PROBLEM ON THE EXAMPLE OF ORACLE DATA MINING TECHNOLOGY. ISJ Theoretical & Applied Science, 03 (59): 147-154. Soi: http://s-o-i.org/1.1/TAS-03-59-24 Doi: https://dx.doi.org/10.15863/TAS.2018.03.59.24 |
Pages: 147-154
Published: 30.03.2018
Abstract: The article reviews the existing machine learning methods, which solve the prediction problem, and related issues. The modification of the bagging method, which aggregates two fundamentally different basic machine learning algorithms, is proposed and justified. The research of the method, based on the examples of risk estimation of the cardiovascular disease and forecasting the dynamics of General Electronic company stock, confirms the effectiveness of the method.
Key words: prediction problem, classification, regression, bagging, data mining, machine learning, Oracle Data Mining
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