Recently Published
Neural Network model for predicting student alcohol consumption level
Attribute Information:
school - student's school (binary: 'GP' - Gabriel Pereira or 'MS' - Mousinho da Silveira)
sex - student's sex (binary: 'F' - female or 'M' - male)
age - student's age (numeric: from 15 to 22)
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 education (4th grade), 2 - 5th to 9th grade, 3 - secondary education or 4 - higher education)
Fedu - father's education (numeric: 0 - none, 1 - primary education (4th grade), 2 - 5th to 9th grade, 3 - secondary education or 4 - higher education)
studytime - weekly study time in hours (numeric: 1 - <2, 2 - 2 to 5, 3 - 5 to 10, or 4 - >10) activities - extra-curricular activities (binary: yes or no)
romantic - with a romantic relationship (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)
health - current health status (numeric: from 1 - very bad to 5 - very good)
absences - number of school absences (numeric: from 0 to 93)
alc - alcohol consumption (binary: 0 - Low, 1 - High)
grades - average grade (numeric: from 0 to 20)