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HW4 - Resampling Methods
Resampling Methods: CV & Bootstrap (ISLR Ch. 5)
ISLR2 Classification Methods: Weekly, Auto, and Boston Datasets
An application of classification methods (logistic regression, LDA, QDA,
Naive Bayes, and KNN) to three datasets from the ISLR2 package. Includes
exploratory data analysis, model fitting, confusion matrices, and
comparison of test error rates across methods for predicting stock
market direction (Weekly), high/low gas mileage (Auto), and high/low
crime rate (Boston).