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1. Iqbal, M. and Yan, Z., Supervised Machine Learning Approaches: A Survey. Int. J. Soft Comput., 5, 946–952, 2015, 10.21917/ijsc.2015.0133.

2. Nasteski, V., An overview of the supervised machine learning methods. Horizons. B., 4, 51–62, 2017, 10.20544/HORIZONS.B.04.1.17.P05.

3. Sharma, R., Sharma, K., Khanna, A., Study of Supervised Learning and Unsupervised Learning. Int. J. Res. Appl. Sci. Eng. Technol. (IJRASET), 8, VI, June 2020.

4. Kotsiantis, S.B., Supervised Machine Learning: A Review of Classification Techniques, in: Proceedings of the 2007 conference on Emerging Artificial Intelligence Applications in Computer Engineering: Real Word AI Systems with Applications in eHealth, HCI, Information Retrieval and Pervasive Technologies, The Netherlands, 2007.

5. Osisanwo, F.Y., Akinsola, J.E.T., Awodele, O., Hinmikaiye, J.O., Olakanmi, O., Akinjobi, J., Supervised Machine Learning Algorithms: Classification and Comparison. Int. J. Comput. Trends Technol. (IJCTT), 48, 3, 128–138, June 2017.

6. Brownlee, J., Linear Regression for Machine Learning – Machine Learning Mastery, [online] Machine Learning Mastery https://machinelearningmastery.com/linear-regression-for-machine-learning/.

7. Brownlee, J., Logistic Regression for Machine Learning – Machine Learning Mastery, [online] Machine Learning Mastery Available at: https://machine-learningmastery.com/logistic-regression-for-machine-learning/.

8. Mitchell, T., Machine Learning, 432pp., McGraw Hill, Carnegie Mellon University, 2015.

9. https://www.javatpoint.com/machine-learning

10. https://www.tutorialspoint.com/machine_learning_with_python/classification_algorithms_support_vector_machine.htm

11. https://www.edureka.co/blog/supervised-learning/

12. https://machinelearningmastery.com/supervised-and-unsupervised-machine-learning-algorithms/

13. Fabris, F., Magalhães, J.P., Freitas, A.A., A review of supervised machine learning applied to ageing research. Biogerontology, 18, 2, 171–188, 2017.

14. Ayodele, T., Types of Machine Learning Algorithms, InTech Open, 2010, https://www.intechopen.com/chapters/10694

15. Musumeci, F. et al., An Overview on Application of Machine Learning Techniques in Optical Networks. IEEE Commun. Surv. Tutorials, 21, 2, 1383– 1408, Secondquarter 2019.

16. https://en.wikipedia.org/wiki/Logistic_regression

17. https://www.edureka.co/blog/decision-trees/

18. Mohri, M., Rostamizadeh, A., Talwalker, A., Foundations of machine learning, MIT Press, Cambridge, MA, 2012.

19. Cioffi, R., Travaglioni, M., Piscitelli, G., Petrillo, A., De Felice, F., Artificial Intelligence and Machine Learning Applications in Smart Production: Progress, Trends, and Directions. Sustainability, 12, 492, 2020.

20. Behera, R. and Das, K., A Survey on Machine Learning: Concept, Algorithms and Applications. Int. J. Innov. Res. Comput. Commun. Eng., 5, 2, 1301–1309, 2017.

21. Domingos, P., A few useful things to know about machine learning. Commun. ACM, 55, 10, 14–20, 2012.

1 * Corresponding author: shruthihshetty02@gmail.com

2 † Corresponding author: sumikshashetty7@gmail.com

3 ‡ Corresponding author: chandrasingh146@gmail.com

4 § Corresponding author: ashu1280@gmail.com