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anbangwu

Brandon Wu

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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)