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

Social Sciences

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