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# Split the dataframe Q8 into a training sample (75%) and holdout sample (25%).

Split the dataframe Q8 into a training sample (75%) and holdout sample (25%).

Build a predictive logistic regression model predicting Buy from all predictors

(no interactions), choosing as your final model the one suggested by the one standard

deviation rule. Fit the model on the training sample, then report its misclassification

RATE on your holdout sample.

Note: in the TWO places where it is necessary, be sure to set the random number seed to 320.