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An investigation of ensemble learning methods in classification problems and an application on non-small-cell lung cancer data

Review Article

An investigation of ensemble learning methods in classification problems and an application on non-small-cell lung cancer data

Receiving Date: 14 October 2021

Accept Date: 13 February 2022

Available Online: 20.03.2022

doi: 10.5455/medscience.2021.10.339

Med-Science. 2022; 11(2):924-33

Conflict of Interests: The authors declare that they have no known competing financialinterestsor personal relationships that could have appeared to influence the work reported in this paper.
Financial Disclosure: All authors declare no financial support.
Ethical Approval:Ethics committee approval was not obtained as an open-source data set was used.

Figure 1. Boosting Algorithm

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Kivrak M, Colak C. An investigation of ensemble learning methods in classification problems and an application on non-small-cell lung cancer data. Med Science. 2022;11(2):924-33.

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Corresponding Author: Mehmet Kivrak, Recep Tayyip Erdogan University Faculty of Medicine, Department of Biostatistics and Medical Informatics, Rize, Turkey.
E-mail: mehmetkivrak83@gmail.com