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.
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.