$1.$ Tabulate or report characteristics of input and output variables $($for numerical variables report mean, standard deviation minimum maximum for categorical variables report frequency distributions$)$

$2.$ Build decision tree models predicting who in the primary book buyer segment is most likely to purchase this new cook book.

$3.$ Report the performance of the trees on the training and test sets Commend on the performance and complexity of the trees you tried

$4.$ Apply Bagging and Boosting methods to improve the accuricy of the classification. Is there an improvment in the accuricy?

$5.$ Build neural network models predicting who in the primary book buyer segment is most likely to purchase this new cook book.

$6.$ Report the performance of the network on the training and test sets