Student grade prediction — student • qacr

Student math achievement in secondary education of two Portuguese schools

student

Format

A data frame with 395 rows and 33 variables:

school: factor. student's school ('Gabriel Pereira' or 'Mousinho da Silveira').
sex: factor. student's sex ('Female' or 'Male').
age: integer. student's age (numeric: from 15 to 22).
address: factor. student's home address type ('Urban' or 'Rural').
famsize: factor. family size (binary: 'Less or equal to 3' or 'Greater than 3').
Pstatus: factor. parent's cohabitation status ('Living together' or 'Living apart').
Medu: ordered factor. mother's education ('primary education (4th grade)', '5th to 9th grade', 'secondary education' or 'higher education').
Fedu: ordered factor. father's education ('primary education (4th grade)', '5th to 9th grade', 'secondary education' or 'higher education').
Mjob: factor. mother's job ('teacher', 'health' care related, civil 'services' (e.g. administrative or police), 'at_home' or 'other').
Fjob: factor. father's job ('teacher', 'health' care related, civil 'services' (e.g. administrative or police), 'at_home' or 'other').
reason: factor. reason to choose this school (close to 'home', school 'reputation', 'course' preference or 'other').
guardian: factor. student's guardian ('mother', 'father' or 'other').
traveltime: ordered factor. home to school travel time ('1 - <15 min.', '15 to 30 min.', 30 min. to 1 hour', or '4 - >1 hour').
studytime: ordered factor. weekly study time ('<2 hours', '2 to 5 hours', '5 to 10 hours', or '>10 hours').
failures: integer. number of past class failures (numeric: n if 1<=n<3, else 4).
schoolsup: factor. extra educational support ('yes' or 'no').
famsup: factor. family educational support ('yes' or 'no').
paid: factor. extra paid classes within the course subject (Math) ('yes' or 'no').
activities: factor. extra-curricular activities ('yes' or 'no').
nursery: factor. attended nursery school ('yes' or 'no').
higher: factor. wants to take higher education ('yes' or 'no').
internet: factor. Internet access at home ('yes' or 'no').
romantic: factor. with a romantic relationship ('yes' or 'no').
famrel: integer. quality of family relationships (from 1 - very bad to 5 - excellent).
freetime: integer. free time after school (from 1 - very low to 5 - very high).
goout: integer. going out with friends (from 1 - very low to 5 - very high).
Dalc: integer. workday alcohol consumption (1 - very low to 5 - very high).
Walc: integer. weekend alcohol consumption (from 1 - very low to 5 - very high).
health: integer. current health status (from 1 - very bad to 5 - very good).
absences: integer. number of school absences (from 0 to 93).
G1: integer. first period grade (from 0 to 20).
G2: integer. second period grade (from 0 to 20).
G3: integer. final grade (from 0 to 20, output target).

Source

Data obtained from UCI Machine Learning Repository.

Original source: Paulo Cortez, University of Minho, GuimarÃ£es, Portugal, http://www3.dsi.uminho.pt/pcortez

Please include this citations when using the data: P. Cortez and A. Silva. Using Data Mining to Predict Secondary School Student Performance. In A. Brito and J. Teixeira Eds., Proceedings of 5th FUture BUsiness TEChnology Conference (FUBUTEC 2008) pp. 5-12, Porto, Portugal, April, 2008, EUROSIS, ISBN 978-9077381-39-7. Web Link.

Details

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. This dataset provides regarding the performance in Mathematics. Important 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 (see paper source for more details).

Note

While the original data source provides grades in both Mathematics and Portuguese, this dataset is bases on math scores alone.

Examples

summary(student)
#>                   school        sex           age        address   
#>  Gabriel Pereira     :349   Female:208   Min.   :15.0   Urban:307  
#>  Mousinho da Silveira: 46   Male  :187   1st Qu.:16.0   Rural: 88  
#>                                          Median :17.0              
#>                                          Mean   :16.7              
#>                                          3rd Qu.:18.0              
#>                                          Max.   :22.0              
#>                     famsize               Pstatus                     Medu    
#>  Less than or equal to 3:114   Living together:354   None               :  3  
#>  Greater than 3         :281   Living apart   : 41   Primary (4th grade): 59  
#>                                                      5th to 9th grade   :103  
#>                                                      secondary education: 99  
#>                                                      Higher education   :131  
#>                                                                               
#>                   Fedu           Mjob           Fjob            reason   
#>  None               :  2   at_home : 59   at_home : 20   course    :145  
#>  Primary (4th grade): 82   health  : 34   health  : 18   home      :109  
#>  5th to 9th grade   :115   other   :141   other   :217   other     : 36  
#>  secondary education:100   services:103   services:111   reputation:105  
#>  Higher education   : 96   teacher : 58   teacher : 29                   
#>                                                                          
#>    guardian                traveltime       studytime      failures     
#>  father: 90   < 15 min.         :257   < 2 hours :105   Min.   :0.0000  
#>  mother:273   15-30 min.        :107   2-5 hours :198   1st Qu.:0.0000  
#>  other : 32   30 min. to 1 hrour: 23   5-10 hours: 65   Median :0.0000  
#>               > 1 hour          :  8   > 10 hours: 27   Mean   :0.3342  
#>                                                         3rd Qu.:0.0000  
#>                                                         Max.   :3.0000  
#>  schoolsup famsup     paid     activities nursery   higher    internet 
#>  no :344   no :153   no :214   no :194    no : 81   no : 20   no : 66  
#>  yes: 51   yes:242   yes:181   yes:201    yes:314   yes:375   yes:329  
#>                                                                        
#>                                                                        
#>                                                                        
#>                                                                        
#>  romantic      famrel         freetime         goout            Dalc      
#>  no :263   Min.   :1.000   Min.   :1.000   Min.   :1.000   Min.   :1.000  
#>  yes:132   1st Qu.:4.000   1st Qu.:3.000   1st Qu.:2.000   1st Qu.:1.000  
#>            Median :4.000   Median :3.000   Median :3.000   Median :1.000  
#>            Mean   :3.944   Mean   :3.235   Mean   :3.109   Mean   :1.481  
#>            3rd Qu.:5.000   3rd Qu.:4.000   3rd Qu.:4.000   3rd Qu.:2.000  
#>            Max.   :5.000   Max.   :5.000   Max.   :5.000   Max.   :5.000  
#>       Walc           health         absences            G1       
#>  Min.   :1.000   Min.   :1.000   Min.   : 0.000   Min.   : 3.00  
#>  1st Qu.:1.000   1st Qu.:3.000   1st Qu.: 0.000   1st Qu.: 8.00  
#>  Median :2.000   Median :4.000   Median : 4.000   Median :11.00  
#>  Mean   :2.291   Mean   :3.554   Mean   : 5.709   Mean   :10.91  
#>  3rd Qu.:3.000   3rd Qu.:5.000   3rd Qu.: 8.000   3rd Qu.:13.00  
#>  Max.   :5.000   Max.   :5.000   Max.   :75.000   Max.   :19.00  
#>        G2              G3       
#>  Min.   : 0.00   Min.   : 0.00  
#>  1st Qu.: 9.00   1st Qu.: 8.00  
#>  Median :11.00   Median :11.00  
#>  Mean   :10.71   Mean   :10.42  
#>  3rd Qu.:13.00   3rd Qu.:14.00  
#>  Max.   :19.00   Max.   :20.00