Predict Student Dropout Risk

Utilize our Random Forest model to identify students at risk. Choose between single-student prediction or batch processing via CSV.

Start Prediction Download Template CSV

Batch CSV Upload

Upload a CSV file containing student data. The file should follow the template format. Results will be displayed below and can be exported.

Single Student Prediction

Demographic

Is the student a displaced person?
Age of student at enrollment
Is the student an international student?

Academic

Method of application used by the student
Application order (between 0 - first choice; and 9 last choice)
The qualification obtained before enrollment
Grade of previous qualification (between 0 and 200)
Admission grade (between 0 and 200)

Socioeconomic

Is the student a debtor?
Are tuition fees paid up to date?
Is the student a scholarship holder?

Performance (1st Sem)

Number of curricular units credited in the 1st semester
Number of curricular units enrolled in the 1st semester
Number of evaluations to curricular units in the 1st semester
Number of curricular units approved in the 1st semester
Grade average in the 1st semester (between 0 and 20)
Number of curricular units without evaluations in the 1st semester

Performance (2nd Sem)

Number of curricular units credited in the 2nd semester
Number of curricular units enrolled in the 2nd semester
Number of evaluations to curricular units in the 2nd semester
Number of curricular units approved in the 2nd semester
Grade average in the 2nd semester (between 0 and 20)
Number of curricular units without evaluations in the 2nd semester

Macroeconomic

Unemployment rate (%)
Inflation rate (%)
GDP