Subair Ali, Computing Department, Westminster International University in Tashkent, will present “A Comparative Analysis of Various Machine Learning Algorithms on Student Performance”.
Abstract: The machine learning algorithm could then be able to predict the performance of students based on the trust parents have placed in the university. The aim of this study is to do comparative analysis of the best in machine learning algorithms. Two experiments have been conducted with nine machine learning algorithms such as RandomForestClassifier, AdaBoostClassifier, ExtraTreesClassifier, KNeighborsClassifier, DecisionTreeClassifier, ExtraTreeClassifier, LogisticRegression, GaussianNB and BernoulliNB. By using get_dummies we were able to get the best result in the second experiment more than the first experiment. The comparative analyses results demonstrated that the LogisticRegression (LR), AdaBoostClassifier (ABC) and DecisionTreeClassifier (DTC) performed 100% accuracy result than other machine learning algorithms.
Join the seminar, link for participation:
Meeting ID: 872 9283 6734
BIO: Subair Ali has been in teaching industry for more than 15 years. He is currently Senior Lecturer at Computing Department at WIUT. Subair Ali is pursuing his PhD in Information Technology from India. He completed B.Sc. (Computer Science) from Jamal Mohamed College, India; M.Sc. (Information Technology) from Alagappa University, India; M.Phil. (Computer Science) from Madurai Kamaraj University, India; ETE (Education Technology and E-Learning) from Teeside University, London; PGCHE (Post Graduate Certificate in Highre Education) from Botho University, Botswana. His research interests focus on Machine Learning, IoT and Data Mining.
Research Seminars are a place where faculty and research assistants share completed research and work in progress. They receive valuable feedback to strengthen their research preparing them for conference presentations and publications. On occasion, visiting researchers from outside the University share their work. Research Seminars are open to public.