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EDA
input
pickle
Correlation.png
Data_Preprocessing.ipynb
Data_Visualization.ipynb
Evaluation.txt
Family_support_plot.png
Feature_Engineering.png
Going_out_plot.png
Grade_Parental_status.png
Grade_Relationshipstatus.png
Grade_fathers_edu.png
Grade_fathers_job.png
Grade_gender.png
Grade_going_out.png
Grade_internet_status.png
Grade_location.png
Grade_mhigher_education_status.png
Grade_mothers_edu.png
Grade_mothers_job.png
Grade_overall_health.png
Grade_regularity.png
Grade_study_time.png
Grade_weekend_alchol.png
Grade_workday_alchol.png
Guardian_plot.png
Model.ipynb
Model_prediction.ipynb
Model_prediction.py
Parent_Education_plot.png
Parent_Job_plot.png
Pstatus_plot.png
README.md
ROC1.png
ROC2.png
ROC3.png
ROC4.png
Reason_plot.png
STUDENT_GRADE.ipynb
STUDENT_GRADE_LABEL_ENCODING.ipynb
STUDENT_GRADE_ONE_HOT_ENCODING.ipynb
Student_Performance_Prediction_Model.ipynb
Study_time_plot.png
Untitled.ipynb
address_plot.png
age_plot.png
alcohol_consumption_plot.png
attend_nursery_plot.png
confusion_matrix.png
correlation_plot.png
extracurricular_plot.png
failures_plot.png
fam_relationship_plot.png
family_plot.png
features.csv
free_time_plot.png
gender.png
gender_plot.png
grades.png
higher_education_plot.png
internet_plot.png
model_evaluation.ipynb
model_evaluation_ver2.ipynb
model_xgb
paid_claases_plot.png
rom_relationship_plot.png
school.png
school_plot.png
school_support_plot.png
student-mat.csv
student-por.csv
student.csv
students.csv
travel_time_plot.png

README.md

Student-Performance-Prediction

Data Set from http://archive.ics.uci.edu/ml/datasets/Student+Performance#

Data Set Information:

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

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)

Grades

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)

Correlation Plot

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