3 datasets found
  1. Student Performance

    • kaggle.com
    Updated Oct 7, 2022
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    Aman Chauhan (2022). Student Performance [Dataset]. https://www.kaggle.com/datasets/whenamancodes/student-performance
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Oct 7, 2022
    Dataset provided by
    Kaggle
    Authors
    Aman Chauhan
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    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. Two datasets are provided regarding the performance in two distinct subjects: Mathematics (mat) and Portuguese language (por). In [Cortez and Silva, 2008], the two datasets were modeled under binary/five-level classification and regression tasks. 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).

    Attributes for both Maths.csv (Math course) and Portuguese.csv (Portuguese language course) datasets:

    ColumnsDescription
    schoolstudent's school (binary: 'GP' - Gabriel Pereira or 'MS' - Mousinho da Silveira)
    sexstudent's sex (binary: 'F' - female or 'M' - male)
    agestudent's age (numeric: from 15 to 22)
    addressstudent's home address type (binary: 'U' - urban or 'R' - rural)
    famsizefamily size (binary: 'LE3' - less or equal to 3 or 'GT3' - greater than 3)
    Pstatusparent's cohabitation status (binary: 'T' - living together or 'A' - apart)
    Medumother's education (numeric: 0 - none, 1 - primary education (4th grade), 2 – 5th to 9th grade, 3 – secondary education or 4 – higher education)
    Fedufather's education (numeric: 0 - none, 1 - primary education (4th grade), 2 – 5th to 9th grade, 3 – secondary education or 4 – higher education)
    Mjobmother's job (nominal: 'teacher', 'health' care related, civil 'services' (e.g. administrative or police), 'at_home' or 'other')
    Fjobfather's job (nominal: 'teacher', 'health' care related, civil 'services' (e.g. administrative or police), 'at_home' or 'other')
    reasonreason to choose this school (nominal: close to 'home', school 'reputation', 'course' preference or 'other')
    guardianstudent's guardian (nominal: 'mother', 'father' or 'other')
    traveltimehome to school travel time (numeric: 1 - <15 min., 2 - 15 to 30 min., 3 - 30 min. to 1 hour, or 4 - >1 hour)
    studytimeweekly study time (numeric: 1 - <2 hours, 2 - 2 to 5 hours, 3 - 5 to 10 hours, or 4 - >10 hours)
    failuresnumber of past class failures (numeric: n if 1<=n<3, else 4)
    schoolsupextra educational support (binary: yes or no)
    famsupfamily educational support (binary: yes or no)
    paidextra paid classes within the course subject (Math or Portuguese) (binary: yes or no)
    activitiesextra-curricular activities (binary: yes or no)
    nurseryattended nursery school (binary: yes or no)
    higherwants to take higher education (binary: yes or no)
    internetInternet access at home (binary: yes or no)
    romanticwith a romantic relationship (binary: yes or no)
    famrelquality of family relationships (numeric: from 1 - very bad to 5 - excellent)
    freetimefree time after school (numeric: from 1 - very low to 5 - very high)
    gooutgoing out with friends (numeric: from 1 - very low to 5 - very high)
    Dalcworkday alcohol consumption (numeric: from 1 - very low to 5 - very high)
    Walcweekend alcohol consumption (numeric: from 1 - very low to 5 - very high)
    healthcurrent health status (numeric: from 1 - very bad to 5 - very good)
    absencesnumber of school absences (numeric: from 0 to 93)

    These grades are related with the course subject, Math or Portuguese:

    GradeDescription
    G1first period grade (numeric: from 0 to 20)
    G2second period grade (numeric: from 0 to 20)
    G3final grade (numeric: from 0 to 20, output target)

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  2. Student Performance Data Set

    • kaggle.com
    Updated Mar 27, 2020
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    Data-Science Sean (2020). Student Performance Data Set [Dataset]. https://www.kaggle.com/datasets/larsen0966/student-performance-data-set
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Mar 27, 2020
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Data-Science Sean
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Description

    If this Data Set is useful, and upvote is appreciated. 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. Two datasets are provided regarding the performance in two distinct subjects: Mathematics (mat) and Portuguese language (por). In [Cortez and Silva, 2008], the two datasets were modeled under binary/five-level classification and regression tasks. 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).

  3. Student Performance

    • kaggle.com
    Updated Aug 30, 2020
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    BARKHA VERMA (2020). Student Performance [Dataset]. https://www.kaggle.com/barkhaverma/student-performance/discussion
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Aug 30, 2020
    Dataset provided by
    Kaggle
    Authors
    BARKHA VERMA
    Description

    Context

    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. Two datasets are provided regarding the performance in two distinct subjects: Mathematics (mat) and Portuguese language (por). In [Cortez and Silva, 2008], the two datasets were modeled under binary/five-level classification and regression tasks. 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).

    Content

    Attributes for both student-mat.csv (Math course) and student-por.csv (Portuguese language course) datasets:

    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 (Math or Portuguese) (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 - weekend 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: from 0 to 93)

    these grades are related with the course subject, Math or Portuguese:

    31 G1 - first period grade (numeric: from 0 to 20) 31 G2 - second period grade (numeric: from 0 to 20) 32 G3 - final grade (numeric: from 0 to 20, output target)

    Source

    Paulo Cortez, University of Minho, Guimarães, Portugal, http://www3.dsi.uminho.pt/pcortez

    Citation Request:

    Please include this citation if you plan to use this database:

    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]

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Aman Chauhan (2022). Student Performance [Dataset]. https://www.kaggle.com/datasets/whenamancodes/student-performance
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Student Performance

Predict student performance in secondary education (high school)

Explore at:
CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
Dataset updated
Oct 7, 2022
Dataset provided by
Kaggle
Authors
Aman Chauhan
License

Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically

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. Two datasets are provided regarding the performance in two distinct subjects: Mathematics (mat) and Portuguese language (por). In [Cortez and Silva, 2008], the two datasets were modeled under binary/five-level classification and regression tasks. 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).

Attributes for both Maths.csv (Math course) and Portuguese.csv (Portuguese language course) datasets:

ColumnsDescription
schoolstudent's school (binary: 'GP' - Gabriel Pereira or 'MS' - Mousinho da Silveira)
sexstudent's sex (binary: 'F' - female or 'M' - male)
agestudent's age (numeric: from 15 to 22)
addressstudent's home address type (binary: 'U' - urban or 'R' - rural)
famsizefamily size (binary: 'LE3' - less or equal to 3 or 'GT3' - greater than 3)
Pstatusparent's cohabitation status (binary: 'T' - living together or 'A' - apart)
Medumother's education (numeric: 0 - none, 1 - primary education (4th grade), 2 – 5th to 9th grade, 3 – secondary education or 4 – higher education)
Fedufather's education (numeric: 0 - none, 1 - primary education (4th grade), 2 – 5th to 9th grade, 3 – secondary education or 4 – higher education)
Mjobmother's job (nominal: 'teacher', 'health' care related, civil 'services' (e.g. administrative or police), 'at_home' or 'other')
Fjobfather's job (nominal: 'teacher', 'health' care related, civil 'services' (e.g. administrative or police), 'at_home' or 'other')
reasonreason to choose this school (nominal: close to 'home', school 'reputation', 'course' preference or 'other')
guardianstudent's guardian (nominal: 'mother', 'father' or 'other')
traveltimehome to school travel time (numeric: 1 - <15 min., 2 - 15 to 30 min., 3 - 30 min. to 1 hour, or 4 - >1 hour)
studytimeweekly study time (numeric: 1 - <2 hours, 2 - 2 to 5 hours, 3 - 5 to 10 hours, or 4 - >10 hours)
failuresnumber of past class failures (numeric: n if 1<=n<3, else 4)
schoolsupextra educational support (binary: yes or no)
famsupfamily educational support (binary: yes or no)
paidextra paid classes within the course subject (Math or Portuguese) (binary: yes or no)
activitiesextra-curricular activities (binary: yes or no)
nurseryattended nursery school (binary: yes or no)
higherwants to take higher education (binary: yes or no)
internetInternet access at home (binary: yes or no)
romanticwith a romantic relationship (binary: yes or no)
famrelquality of family relationships (numeric: from 1 - very bad to 5 - excellent)
freetimefree time after school (numeric: from 1 - very low to 5 - very high)
gooutgoing out with friends (numeric: from 1 - very low to 5 - very high)
Dalcworkday alcohol consumption (numeric: from 1 - very low to 5 - very high)
Walcweekend alcohol consumption (numeric: from 1 - very low to 5 - very high)
healthcurrent health status (numeric: from 1 - very bad to 5 - very good)
absencesnumber of school absences (numeric: from 0 to 93)

These grades are related with the course subject, Math or Portuguese:

GradeDescription
G1first period grade (numeric: from 0 to 20)
G2second period grade (numeric: from 0 to 20)
G3final grade (numeric: from 0 to 20, output target)

More - Find More Exciting🙀 Datasets Here - An Upvote👍 A Dayᕙ(`▿´)ᕗ , Keeps Aman Hurray Hurray..... ٩(˘◡˘)۶Haha

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