This page appears alongside the data files. It describes what files have been provided and the format of each. There is no single format for this page that is appropriate for all competitions, but you should strive to describe as much as you can here. A little time spent describing the data here can save a lot of time answering questions later.

Participants should be able to answer these types of questions after reading the data description:

What files do I need?

What should I expect the data format to be?

What am I predicting?

What acronyms will I encounter?

Files

train.csv - The training set. This file contains all student attributes, including the target variable, romantic.

test.csv - The test set. This file contains all student attributes except the target variable. Your task is to predict the romantic status for each id in this file.

sample_submission.csv - A sample submission file in the correct format. It shows the required two-column format: id and romantic.

Columns

This dataset contains demographic, social, and academic information for a set of students.

id - A unique identifier for each student. This is used for matching your predictions.

school - Student's school (binary: 'GP' - Gabriel Pereira or 'MS' - Mousinho da Silveira)

sex - Student's sex (binary: 'F' - female or 'M' - male)

address - Student's home address type (binary: 'U' - urban or 'R' - rural)

famsize - Family size (binary: 'LE3' - less or equal to 3 or 'GT3' - greater than 3)

Pstatus - Parent's cohabitation status (binary: 'T' - living together or 'A' - apart)

Medu - Mother's education (numeric: 0 - none, 1 - primary (4th grade), 2 – 5th to 9th grade, 3 – secondary or 4 – higher education)

Fedu - Father's education (numeric: 0 - none, 1 - primary (4th grade), 2 – 5th to 9th grade, 3 – secondary or 4 – higher education)

Mjob - Mother's job (nominal: 'teacher', 'health' care related, civil 'services', 'at_home' or 'other')

Fjob - Father's job (nominal: 'teacher', 'health' care related, civil 'services', 'at_home' or 'other')

reason - Reason to choose this school (nominal: close to 'home', school 'reputation', 'course' preference or 'other')

guardian - Student's guardian (nominal: 'mother', 'father' or 'other')

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)

failures - Number of past class failures (numeric)

schoolsup - Extra educational support (binary: yes or no)

famsup - Family educational support (binary: yes or no)

paid - Extra paid classes within the course subject (binary: yes or no)

activities - Extra-curricular activities (binary: yes or no)

nursery - Attended nursery school (binary: yes or no)

higher - Wants to take higher education (binary: yes or no)

internet - Internet access at home (binary: yes or no)

famrel - Quality of family relationships (numeric: from 1 - very bad to 5 - excellent)

freetime - Free time after school (numeric: from 1 - very low to 5 - very high)

goout - Going out with friends (numeric: from 1 - very low to 5 - very high)

Dalc - Workday alcohol consumption (numeric: from 1 - very low to 5 - very high)

health - Current health status (numeric: from 1 - very bad to 5 - very good)

absences - Number of school absences (numeric)

G1 - First period grade (numeric)

G2 - Second period grade (numeric)

G3 - Final grade (numeric)

Feature_1 - Anonymized Feature 1.

Feature_2 - Anonymized Feature 2.

Feature_3 - Anonymized Feature 3.

romantic - (Target Variable) Whether the student is in a romantic relationship (binary: 'yes' or 'no'). This is the column you must predict.