Data
student_performance_por

student_performance_por

active ARFF CC BY 4.0 Visibility: public Uploaded 22-12-2022 by Sebastian Fischer
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Data Description This data approach student achievement in secondary education of two Portuguese schools. The data attributes include student grades, demographic, social and school related features) and it was collected by using school reports and questionnaires. There are two datasets in the original database, regarding the performance in two distinct subjects: Mathematics and Portuguese language. This version of the original dataset contains only the latter. Note: the target attribute G3 has a strong correlation with attributes G2 and G1. This occurs because G3 is the final year grade (issued at the 3rd period), while G1 and G2 correspond to the 1st and 2nd period grades. It is more difficult to predict G3 without G2 and G1, but such prediction is much more useful. Attribute Description 1. *school* - student's school (binary: 'GP' - Gabriel Pereira or 'MS' - Mousinho da Silveira) 2. *sex* - student's sex (binary: 'F' - female or 'M' - male) 3. *age* - student's age (numeric: from 15 to 22) 4. *address* - student's home address type (binary: 'U' - urban or 'R' - rural) 5. *famsize* - family size (binary: 'LE3' - less or equal to 3 or 'GT3' - greater than 3) 6. *Pstatus* - parent's cohabitation status (binary: 'T' - living together or 'A' - apart) 7. *Medu* - mother's education (numeric: 0 - none, 1 - primary education (4th grade), 2 - 5th to 9th grade, 3 - secondary education or 4 - higher education) 8. *Fedu* - father's education (numeric: 0 - none, 1 - primary education (4th grade), 2 - 5th to 9th grade, 3 - secondary education or 4 - higher education) 9. *Mjob* - mother's job (nominal: 'teacher', 'health' care related, civil 'services' (e.g. administrative or police), 'at_home' or 'other') 10. *Fjob* - father's job (nominal: 'teacher', 'health' care related, civil 'services' (e.g. administrative or police), 'at_home' or 'other') 11. *reason* - reason to choose this school (nominal: close to 'home', school 'reputation', 'course' preference or 'other') 12. *guardian* - student's guardian (nominal: 'mother', 'father' or 'other') 13. *traveltime* - home to school travel time (numeric: 1 - <15 min., 2 - 15 to 30 min., 3 - 30 min. to 1 hour, or 4 - >1 hour) 14. *studytime* - weekly study time (numeric: 1 - <2 hours, 2 - 2 to 5 hours, 3 - 5 to 10 hours, or 4 - >10 hours) 15. *failures* - number of past class failures (numeric: n if 1<=n<3, else 4) 16. *schoolsup* - extra educational support (binary: yes or no) 17. *famsup* - family educational support (binary: yes or no) 18. *paid* - extra paid classes within the course subject (binary: yes or no) 19. *activities* - extra-curricular activities (binary: yes or no) 20. *nursery* - attended nursery school (binary: yes or no) 21. *higher* - wants to take higher education (binary: yes or no) 22. *internet* - Internet access at home (binary: yes or no) 23. *romantic* - with a romantic relationship (binary: yes or no) 24. *famrel* - quality of family relationships (numeric: from 1 - very bad to 5 - excellent) 25. *freetime* - free time after school (numeric: from 1 - very low to 5 - very high) 26. *goout* - going out with friends (numeric: from 1 - very low to 5 - very high) 27. *Dalc* - workday alcohol consumption (numeric: from 1 - very low to 5 - very high) 28. *Walc* - workday alcohol consumption (numeric: from 1 - very low to 5 - very high) 29. *health* - current health status (numeric: from 1 - very bad to 5 - very good) 30. *absences* - number of school absences (numeric) 31. *G1* - first period grade (numeric: from 0 to 20) 32. *G2* - second period grade (numeric: from 0 to 20) 33. *G3* - final grade (numeric: from 0 to 20, target feature)

31 features

G3 (target)numeric17 unique values
0 missing
schoolnominal2 unique values
0 missing
sexnominal2 unique values
0 missing
agenumeric8 unique values
0 missing
addressnominal2 unique values
0 missing
famsizenominal2 unique values
0 missing
Pstatusnominal2 unique values
0 missing
Medunumeric5 unique values
0 missing
Fedunumeric5 unique values
0 missing
Mjobnominal5 unique values
0 missing
Fjobnominal5 unique values
0 missing
reasonnominal4 unique values
0 missing
guardiannominal3 unique values
0 missing
traveltimenumeric4 unique values
0 missing
studytimenumeric4 unique values
0 missing
failuresnumeric4 unique values
0 missing
schoolsupnominal2 unique values
0 missing
famsupnominal2 unique values
0 missing
paidnominal2 unique values
0 missing
activitiesnominal2 unique values
0 missing
nurserynominal2 unique values
0 missing
highernominal2 unique values
0 missing
internetnominal2 unique values
0 missing
romanticnominal2 unique values
0 missing
famrelnumeric5 unique values
0 missing
freetimenumeric5 unique values
0 missing
gooutnumeric5 unique values
0 missing
Dalcnumeric5 unique values
0 missing
Walcnumeric5 unique values
0 missing
healthnumeric5 unique values
0 missing
absencesnumeric24 unique values
0 missing
G1 (ignore)numeric17 unique values
0 missing
G2 (ignore)numeric16 unique values
0 missing

19 properties

649
Number of instances (rows) of the dataset.
31
Number of attributes (columns) of the dataset.
0
Number of distinct values of the target attribute (if it is nominal).
0
Number of missing values in the dataset.
0
Number of instances with at least one value missing.
14
Number of numeric attributes.
17
Number of nominal attributes.
Number of instances belonging to the most frequent class.
Percentage of instances belonging to the least frequent class.
Number of instances belonging to the least frequent class.
13
Number of binary attributes.
41.94
Percentage of binary attributes.
0
Percentage of instances having missing values.
-1.96
Average class difference between consecutive instances.
0
Percentage of missing values.
0.05
Number of attributes divided by the number of instances.
45.16
Percentage of numeric attributes.
Percentage of instances belonging to the most frequent class.
54.84
Percentage of nominal attributes.

2 tasks

0 runs - estimation_procedure: 10-fold Crossvalidation - target_feature: G3
0 runs - estimation_procedure: 10 times 10-fold Crossvalidation - target_feature: G3
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