Using the eBay auction data (file eBayAuctions.csv) with variable Competitive as the outcome variable, partition the data into training (60%) and validation (40%).

Set the seed for the random number generator for reproducing the partitions as random_state=1.

Question 1 (5 points) Run a classification tree, using the default settings of DecisionTreeClassifier. Looking at the validation set, what is the overall accuracy? What is the lift on the first decile?

Question 2 (5 points) Run a boosted tree with the same predictors (use function AdaBoostingClassifier with DecisionTreeClassifier as the base estimator). For the validation set, what is the overall accuracy? What is the lift on the first decile?

Question 3 (5 points) Run a bagged tree with the same predictors (use function BaggingClassifier). For the validation set, what is the overall accuracy? What is the lift on the first decile?

Question 4 (5 points) Run a random forest (using RandomForestClassifier). Compare the bagged tree to the random forest in terms of validation accuracy and lift on first decile. How are the two methods conceptually different?

eBayAuctions.csv Data File Example:

Category	currency	sellerRating	Duration	endDay	ClosePrice	OpenPrice	Competitive?
Music/Movie/Game	US	3249	5	Mon	0.01	0.01	0
Music/Movie/Game	US	3249	5	Mon	0.01	0.01	0
Music/Movie/Game	US	3249	5	Mon	0.01	0.01	0
Music/Movie/Game	US	3249	5	Mon	0.01	0.01	0
Music/Movie/Game	US	3249	5	Mon	0.01	0.01	0
Music/Movie/Game	US	3249	5	Mon	0.01	0.01	0
Music/Movie/Game	US	3249	5	Mon	0.01	0.01	0
Music/Movie/Game	US	3249	5	Mon	0.01	0.01	0
Music/Movie/Game	US	3249	5	Mon	0.01	0.01	0
Music/Movie/Game	US	3249	5	Mon	0.01	0.01	0
Music/Movie/Game	US	3249	5	Mon	0.01	0.01	0
Music/Movie/Game	US	3249	5	Mon	0.01	0.01	0
Music/Movie/Game	US	3249	5	Mon	0.01	0.01	0
Music/Movie/Game	US	3249	5	Mon	0.01	0.01	0
Music/Movie/Game	US	3249	5	Mon	0.01	0.01	0
Music/Movie/Game	US	3249	5	Mon	0.01	0.01	0
Automotive	US	3115	7	Tue	0.01	0.01	0
Automotive	US	3115	7	Tue	0.01	0.01	0
Automotive	US	3115	7	Tue	0.01	0.01	0
Automotive	US	3115	7	Tue	0.01	0.01	0
Automotive	US	3115	7	Tue	0.01	0.01	1