Machine Learning - Drug Usage
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Given data about an individual's psychological measures and drug consumption habits, could such data be modeled to predict usage of a specific drug by an individual?
Using data comprising multiple dimensions of psychological measurement, as well as reported drug usage statistics, four regressional models were constructed attempting to predict both cannabis usage, as well as alcohol usage amongst the sample respondents.
The results of these models provide insight into the ways in which human social data can effectively be used to predict some specific substance usage, as well as how it may provide weaker predictive accuracy with certain substances such as alcohol.
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