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      Determining success factors for project with supervised machine learning

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            Abstract

            Content

            Author and article information

            Journal
            ScienceOpen Preprints
            ScienceOpen
            20 September 2021
            Affiliations
            [1 ] Aetherarcade
            Author notes
            Author information
            https://orcid.org/0000-0003-1265-467X
            Article
            10.14293/S2199-1006.1.SOR-.PPXBAU5.v1
            63c0d0fc-6799-4982-a7a4-15a4cf5ec24d

            This work has been published open access under Creative Commons Attribution License CC BY 4.0 , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Conditions, terms of use and publishing policy can be found at www.scienceopen.com .

            History
            : 20 September 2021

            The datasets generated during and/or analysed during the current study are available from the corresponding author on reasonable request.
            Management,Machine learning,Data analysis

            Comments

            While the author does a good job of explaining logistic regression and support vector machine in the methodology and results section, he could probably bring more supervised machine learning methods to test the research hypotheses to show how variations in the methods throughout the course of the testing support his claims.

            The logistic regression did not undergo the train test split. This makes the ‘’Machine learning” phrase in the title somewhat inaccurate in the conventional sense. The author may either re-run the logistic regression after performing the tarin-test-split or alter the title to exclude the words "supervised learning."

            2022-09-08 23:14 UTC
            +1

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