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A data mining and model fitting project where we processed an open source college data set and fitted multiple classification models to find the optimal model (lowest test error rate) for the classification of alcoholism in college students. Models explored were Logistic Regression, Lasso Regression, Ridge Regression, and Random Forest. Collabor…
tahmeed14/classification-models-for-alcoholism
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A data mining and model fitting project where we processed an open source college data set and fitted multiple classification models to find the optimal model (lowest test error rate) for the classification of alcoholism in college students. Models explored were Logistic Regression, Lasso Regression, Ridge Regression, and Random Forest. Collabor…
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