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Predicting Tire Purchases from The Tire Rack
To investigate the relationship between each tire's wet traction and the noise level generated.
Criterion Sensitivity Testing in Matilda
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TALLER #3
DANIELA ALEJANDRA VASQUEZ MARTINEZ
DocumentHealthcare Cost Prediction Using Statistical Modeling
Objectives include to: - • Describe and apply statistical modeling foundations, including inference and maximum likelihood estimation, to healthcare cost data. • Identify and utilize the appropriate predictive models (linear regression, decision trees, artificial neural networks) for estimating healthcare service costs in the Medicare system. • Perform model selection and validation to evaluate the best-performing model in terms of adjusted R-squared and root-mean-square error (RMSE). • Effectively communicate complex model outcomes to a general audience, illustrating the potential of predictive analytics in healthcare. • Utilize R programming to develop, fit, and assess models, employing packages like rpart, neuralnet, and caret for comprehensive data analysis.
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