… retention such as increased college reputation, ranking and … The purpose of feature selection
is to select an appropriate … applied filter method using information gain-based selection …

… the art supervised machine learning techniques applied for … when analysed with
appropriate data mining techniques. The … analysis of learning dataset that has been selected. …

… , and selecting the most suitable machine learning approach … Predicting how well college
students will do is a major focus of … -informed choices, such as providing students with the right …

… to predict the final exam grades of undergraduate students, taking … methods to support
students by proposing appropriate … were selected as the dataset. Table 2 shows the distribution of …

… learning constitutes the appropriate technique to exploit data … performance of undergraduate
and postgraduate students at … , we evaluate the performance of selected classifiers for three …

… ’s performance at selected university in Malaysia. The … The data of undergraduate students
of Bachelor of Science … purity in a similar way as machine learning does. This means that if …

… Modern machine learning algorithms can use large data sets … According to this paper, the
selection bias of the decision … pin down the right program for about half of the students seems …

… for Educational Statistics [26], undergraduate enrollment in … discussion group members
knows the correct answer [48]. In … • Selecting clicker questions: Our model learns to use specific …

… appropriate for predicting both performance and probability of … a wide range of learning
methods, selecting attributes, … machine learning in education with focus in undergraduate …

… ; (2) we determine the impacts that feature selection techniques have … the applicant retained
the right to withdraw from participation … over clickstream using machine learning methods. In …