Development of a Simple Graphical Interface Based Software for Machine Learning and Data Visualization
Ogunleye G.O.1, Fashoto S.G2, Daramola C.Y.3, Ogundele L.A.4, Ojewumi T.O.5, Adewole Timilehin6 

1Ogunleye G.O., Department of Computer Science, Federal University, Oye-Ekiti, Ekiti State, Nigeria.
2Fashoto S.G, Department of Computer Science, University of Swaziland, Kwaluseni, Swaziland.
3Daramola C.Y., Department of Computer Science, Federal University, Oye-Ekiti, Ekiti State, Nigeria.
4Ogundele L.A., Department of Computer Science, College of Education, Ilesa, Osun State, Nigeria.
5Ojewumi T.O., Department of Computer Science, Redeemer’s University, Ede, Osun State, Nigeria.
6Adewole Timilehin, Department of Computer Science, Federal University, Oye-Ekiti, Ekiti State, Nigeria.

Manuscript received on 05 March 2019 | Revised Manuscript received on 12 March 2019 | Manuscript published on 30 July 2019 | PP: 3770-3777 | Volume-8 Issue-2, July 2019 | Retrieval Number: B3426078219/19©BEIESP | DOI: 10.35940/ijrte.B3426.078219
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: Machine learning has become one of the foremost techniques used for extracting knowledge from large amounts of data. The programming expertise required to implement machine learning algorithms has led to the rise of software products that simplify the process. Many of these systems however, have sacrificed simplicity as they evolved and included more features. In this study, a machine learning software with a simple graphical user interface was developed with a special focus on enhancing usability. The system made use of basic graphical interface elements such as buttons and textboxes. Comparison of the system with other similar open-source tools revealed that the developed system showed an improvement in usability over the other tools.
Keywords: GUI, Software, Machine Learning, Data Visualization

Scope of the Article: Machine Learning