Using the eBay auction data

SOLUTION AT Australian Expert Writers

eBay Auctions—Boosting and Bagging Using the eBay auction data (file eBayAuctions.csv) with variable Competitive as the outcome variable, partition the data into training (60%) and validation (40%).
a. Run a classification tree, using the default controls of (). Looking at the validation set, what is the overall accuracy? What is the lift on the first decile?
b. Run a boosted tree with the same predictors (use function boosting() in the  package). For the validation set, what is the overall accuracy? What is the lift on the first decile?
c. Run a bagged tree with the same predictors (use function bagging() in the  package). For the validation set, what is the overall accuracy? What is the lift on the first decile?
d. Run a random forest (use function random Forest() in package random Forest with argument  = 4). 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?

Order from Australian Expert Writers
Best Australian Academic Writers

QUALITY: 100% ORIGINAL PAPERNO PLAGIARISM – CUSTOM PAPER

Assignment status: Already Solved By Our Experts

(USA, AUS, UK & CA Ph. D. Writers)

CLICK HERE TO GET A PROFESSIONAL WRITER TO WORK ON THIS PAPER AND OTHER SIMILAR PAPERS, GET A NON PLAGIARIZED PAPER FROM OUR EXPERTS

Order from Australian Expert Writers
Best Australian Academic Writers

QUALITY: 100% ORIGINAL PAPER – NO PLAGIARISM – CUSTOM PAPER

YOU MAY ALSO READ ...  Providing necessary IT support across all activities