Dataset “Predict students' dropout and academic success”
The dataset includes information known at the time of student enrollment (academic path,
demographics, and Macro-economics and Socio-economics factors) and
the student's academic performance at the end of the first and second semesters.
The data is used to build classification models to predict students' dropout and academic success.
The problem is formulated as a three-category classification task (dropout, enrolled, and graduate)
at the end of the normal duration of the course.
The dataset contained 4,424 records (without missing values) and with 35 variables, where each record
represents an individual student.
Move the mouse over the name of the variable to get description of possible values.
| Group | Variable | Histogram | Mean | Median | Coefficient of variation |
Min. | Max. | |
|---|---|---|---|---|---|---|---|---|
| Demographic data |
Marital status
(numeric/discrete) |
|
1.180 | 1 | 0.510 | 1 | 6 | |
| Demographic data |
Nationality
(numeric/discrete) |
|
1.250 | 1 | 1.390 | 1 | 21 | |
| Demographic data |
Displaced
(numeric/binary) |
|
0.548 | 1 | 0.907 | 0 | 1 | |
| Demographic data |
Gender
(numeric/binary) |
|
0.352 | 0 | 1.358 | 0 | 1 | |
| Demographic data |
Age at enrollment
(numeric/discrete) |
|
23.130 | 20 | 0.320 | 17 | 70 | |
| Demographic data |
International
(numeric/binary) |
|
0.025 | 0 | 6.262 | 0 | 1 | |
| Socio-economic data |
Father's qualification
(numeric/discrete) |
|
16.460 | 14 | 0.670 | 1 | 34 | |
| Socio-economic data |
Mother's qualification
(numeric/discrete) |
|
12.320 | 13 | 0.730 | 1 | 29 | |
| Socio-economic data |
Father's occupation
(numeric/discrete) |
|
7.820 | 8 | 0.620 | 1 | 46 | |
| Socio-economic data |
Mother's occupation
(numeric/discrete) |
|
7.320 | 6 | 0.550 | 1 | 32 | |
| Socio-economic data |
Educational special needs
(numeric/binary) |
|
0 | 0.0644 | ||||
| Socio-economic data |
Debtor
(numeric/binary) |
|
0.012 | 0 | 9.260 | 0 | 1 | |
| Socio-economic data |
Tuition fees up to date
(numeric/binary) |
|
0.881 | 1 | 0.368 | 0 | 1 | |
| Socio-economic data |
Scholarship holder
(numeric/binary) |
|
0.248 | 0 | 1.739 | 0 | 1 | |
| Macro-economic data |
Unemployment rate
(numeric/continous) |
|
11.566 | 11.100 | 0.230 | 7.600 | 16.200 | |
| Macro-economic data |
Inflation rate
(numeric/continous) |
|
1.228 | 1.400 | 1.126 | -0.800 | 3.700 | |
| Macro-economic data |
GDP
(numeric/continous) |
|
0.002 | 0.320 | 1,152.820 | -4.100 | 3.500 | |
| Academic data at enrollment |
Application mode
Application mode
(numeric/discrete) |
|
6.890 | 8 | 0.770 | 1 | 18 | |
| Academic data at enrollment |
Application order
(numeric/ordinal) |
|
1.730 | 1 | 0.760 | 1 | 9 | |
| Academic data at enrollment |
Course
(numeric/discrete) |
|
9.900 | 10 | 0.440 | 1 | 17 | |
| Academic data at enrollment |
Daytime/evening attendance
(numeric/discrete) |
|
0.891 | 1 | 0.350 | 0 | 1 | |
| Academic data at enrollment |
Previous qualification
(numeric/discrete) |
|
2.530 | 1 | 1.570 | 1 | 17 | |
| Academic data at the end of 1st semester |
Curricular units 1st sem (credited)
(numeric/discrete) |
|
0.710 | 0 | 3.320 | 0 | 20 | |
| Academic data at the end of 1st semester |
Curricular units 1st sem (enrolled)
(numeric/discrete) |
|
6.270 | 6 | 0.400 | 0 | 26 | |
| Academic data at the end of 1st semester |
Curricular units 1st sem (evaluations)
(numeric/discrete) |
|
8.300 | 8 | 0.500 | 0 | 45 | |
| Academic data at the end of 1st semester |
Curricular units 1st sem (approved)
(numeric/discrete) |
|
4.710 | 5 | 0.660 | 0 | 26 | |
| Academic data at the end of 1st semester |
Curricular units 1st sem (grade)
(numeric/continous) |
|
10.641 | 12.286 | 0.455 | 0.000 | 18.8875 | |
| Academic data at the end of 1st semester |
Curricular units 1st sem (without evaluations)
(numeric/discrete) |
|
0.140 | 0 | 5.020 | 0 | 12 | |
| Academic data at the end of 2nd semester |
Curricular units 2nd sem (credited)
(numeric/discrete) |
|
0.540 | 0 | 3.540 | 0 | 19 | |
| Academic data at the end of 2nd semester |
Curricular units 2nd sem (enrolled)
(numeric/discrete) |
|
6.230 | 6 | 0.350 | 0 | 23 | |
| Academic data at the end of 2nd semester |
Curricular units 2nd sem (evaluations)
(numeric/discrete) |
|
8.060 | 8 | 0.490 | 0 | 33 | |
| Academic data at the end of 2nd semester |
Curricular units 2nd sem (approved)
(numeric/discrete) |
|
4.440 | 5 | 0.680 | 0 | 20 | |
| Academic data at the end of 2nd semester |
Curricular units 2nd sem (grade)
(numeric/continous) |
|
10.230 | 12.200 | 0.509 | 0.000 | 18.571 | |
| Academic data at the end of 2nd semester |
Curricular units 2nd sem (without evaluations)
(numeric/discrete) |
|
0.150 | 0 | 5.010 | 0 | 12 | |
| Target |
Target
(categorical) |
|
Graduate | 1.02 |