Student Academic Success Prediction Using Convoluted Features and Random Forest and SVM Ensemble Model

Social Sciences

1. Academic Performance 100%
2. Academic Record 10%
3. Academic Success 100%
4. Artificial Intelligence 10%
5. At-Risk Students 10%
6. Colombia 10%
7. Computer Uses in Education 10%
8. Convolutional Neural Network 30%
9. Cultural Aspect 10%
10. Data Mining 30%
11. Data Processing 10%
12. Deep Learning Method 30%
13. Delphi 10%
14. Economic Aspect 10%
15. Education 40%
16. Education Institution 20%
17. Educational Institution 30%
18. Electronic Learning 20%
19. Emerging Technology 10%
20. Evaluation Method 10%
21. Extracurricular Activities 10%
22. Family Background 10%
23. Feature Engineering 10%
24. Higher Education 20%
25. Learning Method 10%
26. Learning System 50%
27. Logistic Regression Analysis 10%
28. Logit Model 10%
29. Machine Learning 50%
30. Machine Learning Algorithm 20%
31. Machine Learning Model 10%
32. Neural Network 30%
33. Random Forest 100%
34. Student Performance 20%
35. Student Success 10%
36. Student Support 10%
37. Women Students 10%