Combining predictors for recommending music: the false positives' approach to KDD Cup track 2
Suhrid Balakrishnan, Rensheng Wang, Carlos Scheidegger, Angus MacLellan, Yifan Hu, Aaron F. Archer, Shankar Muthu Krishnan, David Applegate, Guang Jiu Qin, Siu-Tong Au · 2011
We describe our solution for the KDD Cup 2011 track 2 chal-lenge. Our solution relies heavily on ensembling together di-verse individual models for the prediction task, and achieved a final leaderboard misclassification rate of 3.8863%. This paper provides details on both the modeling and ensemble creation steps. 1.