Abstract
Due to the availability and increasing adoption of technology in learning management systems, online admission systems, school management systems, and educational databases have expanded in recent years.
 Motivation/Background: Literature shows that these data contain vital and relevant information that could be used to monitor and advise students’ so that their performance could be enhanced. In this study, the random forest algorithm is proposed to identify and examine the factors that influence students’ performance in WASSCE. Also, predict the future performance of students in WASSCE.
 Method: A total of one thousand five hundred and twenty students’ data were selected from Sunyani SHS. The results revealed that demographic data (age and gender) do not influence the performance of students’ in their final WASSCE.
 Results: However, an accuracy of 89.4% with error metrics (RMSE) 0.001639 and MAPE error of 0.001321 revealed that the proposed model could effectively predict the performance of students in the WASSCE.
Highlights
The size of the educational database keeps proliferating every three years and these databases contain useful information that can be effectively employed to improve the academic performance of students Yadav and Pal (2012)
The study aimed at investigating the factors that affect student academic performance in the WASSCE
The study found that the demographic data
Summary
The size of the educational database keeps proliferating every three years and these databases contain useful information that can be effectively employed to improve the academic performance of students Yadav and Pal (2012). Data mining techniques have been applied in educational systems to increase the understanding of the process of learning by concentrating on key issues such as identifying, mining, and evaluating parameters and variables which are associated with the learning progress of students Yadav and Pal (2012). Forecasting the academic performance of students in the real world has many challenges, but this has been made easy with the growth in information and communication technologies granting access to a large amount of information that could facilitate the critical decision-making process.
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