The purpose of the project is to predict students' academic abilities before the first exams to provide additional didactic and scientific attention to talented individuals.
- analysis.R - analysis, modeling and testing procedure stored as R script
- Research.pdf - main file containing full research description
The final results were achieved by using optimized Random Forest model.
The tuned Random Forest model was able to correctly classify smart students in 81% of the cases.