/SmartStudentsRF

Predicting students' academic abilities with Random Forest model

Primary LanguageR

Introduction

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.

Navigation

  • analysis.R - analysis, modeling and testing procedure stored as R script
  • Research.pdf - main file containing full research description

Methodology

The final results were achieved by using optimized Random Forest model.

Findings

The tuned Random Forest model was able to correctly classify smart students in 81% of the cases.