JMLR has an interesting paper summarizing the results from a contest to build the best model for ClickFraud detection. The second place entry described some nice feature engineering that I found interesting. The first place did feature selection and then used gbm, a really good ensemble algorithm.
This entry was posted on Sunday, March 2nd, 2014 at 5:40 pm (March 2, 2014) and is filed under Advertising, Classification, Data Mining, Machine Learning, Predictive Modeling. You can follow any responses to this entry through the RSS 2.0 feed.
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