Classification problem $($spambase$.$data$)$

$1.$ Use the spambase.data dataset in Week $8($the last part of tutorial$).$ Split this dataset randomly into training and test sets $($use the train$\_$test$\_$split function, set random$\_$state $=5,$ and use $\backslash (20\backslash \%\backslash )$ as test set$).$ Train an LDA model on the training dataset. Report classification error on test set.

$2.$ For the LDA model you trained, plot the ROC curve on the test data and calculate the AUC.

$3.$ For the LDA model you trained, plot the precision$-$recall curve on the test data.