Question: #8: Split the dataframe Q8 into a training sample (75%) and holdout sample (25%). Build a predictive logistic regression model predicting Buy from all predictors

#8: Split the dataframe Q8 into a training sample (75%) and

#8: 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 nal model the one suggested by the one standard deviation rule. Fit the model on the training sample, then report its misclassication RATE on your holdout sample. Note: in the TWO places where it is necessary, be sure to set the random number seed to 320

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