Analysis to determine the relationship between crime in schools and SAT score performance. Health related data, specifically hospitalizations from drugs and alcohol are incuded as additional explantory variables. First basic regression analysis is conducted as a baseline analysis and then a random forest regression is used to perform dimensionality reduction on the model and improve explanatory power.
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Using random forest regression to model SAT scores and school crime
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