An Implementation of C4.5 Classification Algorithm to Analyze student’s Performance

Due to the massive amount of information in educational database, predicting student's performance is more difficult. Thus, a comprehensive literature review to forecast student's performance utilizing data mining techniques-in particular using the C4.5 algorithm-is recommended to enhance the student's achievements. The main intention of this research is to provide a description of the data mining techniques used to predict student's results. This research paper also reflects as to how the classification algorithm may be used to classify the most significant characteristics in a student's information. In essence, we might increase student's performance and progress more effectively by utilizing educational data mining methods, particularly the C4.5 classification algorithm Based on the results obtained by the dataset provided, the C4.5 algorithm had the accuracy of 71,9%. This could offer advantages and influence to students, lecturers and academic establishments.